International Journal of Computational Intelligence Systems

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1410 articles
Research Article

Evolutionary Multimodal Optimization Based on Bi-Population and Multi-Mutation Differential Evolution

Wei Li, Yaochi Fan, Qingzheng Xu
Pages: 1345 - 1367
The most critical issue of multimodal evolutionary algorithms (EAs) is to find multiple distinct global optimal solutions in a run. EAs have been considered as suitable tools for multimodal optimization because of their population-based structure. However, EAs tend to converge toward one of the optimal...
Research Article

A Biform Game Approach to Preventing Block Withholding Attack of Blockchain Based on Semi-CIS Value

Xiao-Li Du, Deng-Feng Li, Kai-Rong Liang
Pages: 1353 - 1360
In proof-of-work (PoW)-based blockchain network, the blockchain miners publish blocks by contributing computing power to solve crypto-puzzles. Due to the weak computing power of single miner, miners tend to join a mining pool and share the profits from the mining pool according to the contribution proportions...
Research Article

A New Approach to High-accuracy Road Orthophoto Mapping Based on Wavelet Transform

Ming Yang, Chunxiang Wang, Fang Chen, Bing Wang, Hao Li
Pages: 1367 - 1374
Existing orthophoto map based on satellite photography and aerial photography is not precise enough for road marking. This paper proposes a new approach to high-accuracy orthophoto mapping. The approach uses inverse perspective transformation to process the image information and generates the orthophoto...
Research Article

Topology Modeling and Analysis of a Power Grid Network Using a Graph Database

Bowen Kan, Wendong Zhu, Guangyi Liu, Xi Chen, Di Shi, Weiqing Yu
Pages: 1355 - 1363
We introduce a new method for storing, modeling, and analyzing power grid data. First, we present an architecture for building the network model for a power grid using the open source graph database Neo4j. Second, we design single- and multi-threading systems for initial energization analysis of the...
Research Article

Metaheuristic Multi-Objective Method to Detect Communities on Dynamic Social Networks

Fatemeh Besharatnia, AliReza Talebpour, Sadegh Aliakbary
Pages: 1356 - 1372
Community detection is an important area in social networks analysis, which has many applications. Most social networks are inherently dynamic, consisting of constantly changing communities and therefore, community detection is a challenge in such networks. Since the communities in dynamic networks change,...
Research Article

An Integrated Algorithm of CCPP Task for Autonomous Mobile Robot under Special Missions

Caihong Li, Zhiqiang Wang, Chun Fang, Zhenying Liang, Yong Song, Yibin Li
Pages: 1357 - 1368
Due to the difficult problem of avoiding obstacles to achieve the complete coverage path planning (CCPP) for special missions, this paper introduces a novel integrated algorithm of CCPP for autonomous mobile robot under an obstacles-included environment. The algorithm combines cellular decomposition...
Research Article

EDAS Method for Multiple Attribute Group Decision Making with Probabilistic Uncertain Linguistic Information and Its Application to Green Supplier Selection

Yan He, Fan Lei, Guiwu Wei, Rui Wang, Jiang Wu, Cun Wei
Pages: 1361 - 1370
In order to adapt to the development of the new times, enterprises should not only care for the economic benefits, but also properly cope with environmental and social problems to achieve the integration of environmental, economic and social performance of sustainable development, so as to maximize the...
Research Article

Study on Evaluation Indicators System of Crowd Management for Transfer Stations Based on Pedestrian Simulation

Guanghou Zhang, Yanyan Chen, Pingpu Li, Simon Fibbe
Pages: 1375 - 1382
Improving safety and convenience of transfer is one of the most vital tasks in subway system planning, design and operation management. Because of complicated space layout and crowded pedestrian, crowd control is a big challenge for management of transfer stations. Thus, a quantitative evaluation should...
Research Article

Clustering-Based Monarch Butterfly Optimization for Constrained Optimization

Sibo Huang, Han Cui, Xiaohui Wei, Zhaoquan Cai
Pages: 1369 - 1392
Monarch butterfly optimization (MBO) algorithm is a newly-developed metaheuristic approach that has shown striking performance on several benchmark problems. In order to enhance the performance of MBO, many scholars proposed various strategies for benchmark evaluation and practical applications. As an...
Research Article

Robust and Real-Time Traffic Lights Recognition in Complex Urban Environments

Chunxiang Wang, Tao Jin, Ming Yang, Bing Wang
Pages: 1383 - 1390
The traffic lights play an indispensable role in urban road safety and researches on intelligent vehicles become more popular recently. In this paper an automatic system for robust and real-time detection and recognition of traffic lights for intelligent vehicles based on vehicle-mounted camera is proposed....
Research Article

An Ensemble Approach for Extended Belief Rule-Based Systems with Parameter Optimization

Hong-Yun Huang, Yan-Qing Lin, Qun Su, Xiao-Ting Gong, Ying-Ming Wang, Yang-Geng Fu
Pages: 1371 - 1381
The reasoning ability of the belief rule-based system is easy to be weakened by the quality of training instances, the inconsistency of rules and the values of parameters. This paper proposes an ensemble approach for extended belief rule-based systems to address this issue. The approach is based on the...
Research Article

Communication-Efficient Distributed SGD with Error-Feedback, Revisited

Tran Thi Phuong, Le Trieu Phong
Pages: 1373 - 1387
We show that the convergence proof of a recent algorithm called dist-EF-SGD for distributed stochastic gradient descent with communication efficiency using error-feedback of Zheng et al., Communication-efficient distributed blockwise momentum SGD with error-feedback, in Advances in Neural Information...
Research Article

A Comparison of Traffic Operations among Beijing and Several International Megacities

Yuanzhou Yang, Jing Yang, Baohua Mao, Shaokuan Chen, Hongwei Guo
Pages: 1391 - 1400
High-Efficient traffic system is very important for economy and society of cities. Previous studies on the traffic comparison mostly took a city as a whole, but ignored the differences among areas inside the city. But in fact, the traffic congestion in different areas with a city is mostly different....
Research Article

Exploring Fuzzy Rating Regularities for Managing Natural Noise in Collaborative Recommendation

Raciel Yera, Manuel J. Barranco, Ahmad A. Alzahrani, Luis Martínez
Pages: 1382 - 1392
Recommender systems have played a relevant role in e-commerce for supporting online users to obtain suggestions about products that best fit their preferences and needs in overloaded search spaces. In such a context, several authors have proposed methods focused on removing the users' inconsistencies...
Research Article

Influence of Stretching-Segment Storage Length on Urban Traffic Flow in Signalized Intersection

Weiwei Guo, Wuhong Wang, Geert Wets, Dianhai Wang, Yan Mao, Xiaobei Jiang, Hongwei Guo
Pages: 1401 - 1406
Intelligent traffic control is influenced by Stretching-segment design, parameters optimization of traffic control have to consider saturation flow rate in approach. Many intersections with different stretching-segment design forms are selected to study on saturation flow rate at peak rush hour and ordinary...
Research Article

Knowledge Representations for Constructing Chains of Contexts in Geographic Information Systems

Janusz Kacprzyk, Stanislav Belyakov, Alexander Bozhenyuk, Igor Rozenberg
Pages: 1388 - 1395
Solving complex informal problems using spatial data is often used in industry and business. In the absence of a solution algorithm, analyst resorts to a heuristic search for a solution, which is based on an interactive dialogue with a geographic information system (GIS). The analyst builds a cartographic...
Research Article

Interval-Valued Probabilistic Dual Hesitant Fuzzy Sets for Multi-Criteria Group Decision-Making

Peide Liu, Shufeng Cheng
Pages: 1393 - 1411
As a powerful extension to hesitant fuzzy sets (HFSs), dual hesitant fuzzy sets (DHFSs) have been closely watched by many scholars. The DHFSs can reflect the disagreement and hesitancy of decision-makers (DMs) flexibly and conveniently. However, all the evaluation values under the same membership degree...
Research Article

Woodland Labeling in Chenzhou, China, via Deep Learning Approach

Wei Wang, Yujing Yang, Ji Li, Yongle Hu, Yanhong Luo, Xin Wang
Pages: 1393 - 1403
In order to complete the task of the woodland census in Chenzhou, China, this paper carries out a remote sensing survey on the terrain of this area to produce a data set, and used deep learning methods to label the woodland. There are two main improvements in our paper: Firstly, this paper comparatively...
Research Article

Situational Factors of Influencing Drivers to Give Precedence to Jaywalking Pedestrians at Signalized Crosswalk

Xiaobei Jiang, Wuhong Wang, Yan Mao, Klaus Bengler, Bubb Heiner
Pages: 1407 - 1414
A large number of fatalities are caused by the vehicle-pedestrian accidents. Under a potential conflict between the vehicle and jaywalking pedestrian, giving precedence to the pedestrian will be a proper decision taken by the driver to avoid collision. Field traffic data has been collected by video recording...
Research Article

Face Spoof Attack Detection with Hypergraph Capsule Convolutional Neural Networks

Yuxin Liang, Chaoqun Hong, Weiwei Zhuang
Pages: 1396 - 1402
Face authentication has been widely used in personal identification. However, face authentication systems can be attacked by fake images. Existing methods try to detect such attacks with different features. Among them, using color images become popular since it is flexible and generic. In this paper,...
Research Article

Cellular automaton simulation of counter flow with paired pedestrians

Hui Xiong, Xuedong Guo, Wuhong Wang, Huachun Tan, Heng Wei
Pages: 1415 - 1421
Knowledge on pedestrian behavior is the basis to build decision support system for crowd evacuation management in emergency. In this paper, the impact of paired walking behavior on pedestrian counter flow in a channel is studied. The pedestrian walking behaviors are simulated by the cellular automaton...
Research Article

Some New Classes of Preinvex Fuzzy-Interval-Valued Functions and Inequalities

Muhammad Bilal Khan, Muhammad Aslam Noor, Lazim Abdullah, Yu-Ming Chu
Pages: 1403 - 1418
It is well known that convexity and nonconvexity develop a strong relationship with different types of integral inequalities. Due to the importance of the concept of nonconvexity and integral inequality, in this paper, we present some new classes of preinvex fuzzy-interval-valued functions involving...
Research Article

Deep Learning and Higher Degree F-Transforms: Interpretable Kernels Before and After Learning

Vojtech Molek, Irina Perfilieva
Pages: 1404 - 1414
One of the current trends in the deep neural network technology consists in allowing a man–machine interaction and providing an explanation of network design and learning principles. In this direction, an experience with fuzzy systems is of great support. We propose our insight that is based on the particular...
Research Article

Edge Eigenface Weighted Hausdorff Distance for Face Recognition

Huachun Tan, Yu-Jin Zhang, Wuhong Wang, Guangdong Feng, Hui Xiong, Jie Zhang, Yong Li
Pages: 1422 - 1429
The different face regions have different degrees of importance for face recognition. In previous Hausdorff distance (HD) measures, points are treated as same importance, or weight different points that calculated from gray domain. In this paper, a new weighting function of HD based on the eigenface...
Research Article

A-SMOTE: A New Preprocessing Approach for Highly Imbalanced Datasets by Improving SMOTE

Ahmed Saad Hussein, Tianrui Li, Chubato Wondaferaw Yohannese, Kamal Bashir
Pages: 1412 - 1422
Imbalance learning is a challenging task for most standard machine learning algorithms. The Synthetic Minority Oversampling Technique (SMOTE) is a well-known preprocessing approach for handling imbalanced datasets, where the minority class is oversampled by producing synthetic examples in feature vector...
Research Article

Fine-Tuning the Fuzziness of Strong Fuzzy Partitions through PSO

Ciro Castiello, Corrado Mencar
Pages: 1415 - 1428
We study the influence of fuzziness of trapezoidal fuzzy sets in the strong fuzzy partitions (SFPs) that constitute the database of a fuzzy rule-based classifier. To this end, we develop a particular representation of the trapezoidal fuzzy sets that is based on the concept of cuts, which are the cross-points...
Research Article

Attribute Reduction Method of Covering Rough Set Based on Dependence Degree

Li Fachao, Ren Yexing, Jin Chenxia
Pages: 1419 - 1425
Attribute reduction is a hot topic in the field of data mining. Compared with the traditional methods, the attribute reduction algorithm based on covering rough set is more suitable for dealing with numerical data. However, this kind of algorithm is still not efficient enough to deal with large-scale...
Research Article

Exploitation of Social Network Data for Forecasting Garment Sales

Chandadevi Giri, Sebastien Thomassey, Xianyi Zeng
Pages: 1423 - 1435
Growing use of social media such as Twitter, Instagram, Facebook, etc., by consumers leads to the vast repository of consumer generated data. Collecting and exploiting these data has been a great challenge for clothing industry. This paper aims to study the impact of Twitter on garment sales. In this...
Research Article

Distorted Vehicle Detection and Distance Estimation by Metric Learning-Based SSD

Fanghui Zhang, Yi Jin, Shichao Kan, Linna Zhang, Yigang Cen, Wen Jin
Pages: 1426 - 1437
Object detection and distance estimation based on videos are important issues in advanced driver-sssistant system (ADAS). In practice, fisheye cameras are widely used to capture images with a large field of view, which will produce distorted image frames. But most of the object detection algorithms were...
Research Article

Multi-Criteria Group Decision-Making Using Spherical Fuzzy Prioritized Weighted Aggregation Operators

Muhammad Akram, Samirah Alsulami, Ayesha Khan, Faruk Karaaslan
Pages: 1429 - 1446
Spherical fuzzy sets, originally proposed by F.K. Gündogdu, C. Kahraman, Spherical fuzzy sets and spherical fuzzy TOPSIS method, J. Intell. Fuzzy Syst. 36 (2019), 337–352, can handle the information of type: yes, no, abstain and refusal, owing to the feature of broad space of admissible triplets. This...
Research Article

Optimized Intelligent Design for Smart Systems Hybrid Beamforming and Power Adaptation Algorithms for Sensor Networks Decision-Making Approach

Ali Kamil Khiarullah, Ufuk Tureli, Didem Kivanc
Pages: 1436 - 1445
During last two decades, power adaptation and beamforming solutions have been proposed for multiple input multiple output (MIMO) Ad Hoc networks. Game theory based methods such as cooperative and non-cooperative joint beamforming and power control for the MIMO ad hoc systems consider the interference...
Research Article

Applying Meta-Heuristics Algorithm to Solve Assembly Line Balancing Problem with Labor Skill Level in Garment Industry

Gary Yu-Hsin Chen, Ping-Shun Chen, Jr-Fong Dang, Sung-Lien Kang, Li-Jen Cheng
Pages: 1438 - 1450
This research investigates how to properly place garment industry workers to work stations in the assembly line to achieve a more balanced production and to reduce the production cycle time. We simulate the assembly line balancing problem via staff assignments. In our research, we conduct a comparative...
Research Article

Application of Collaborative Filtering Algorithm in Mathematical Expressions of User Personalized Information Recommendation

Yufeng Qian
Pages: 1446 - 1453
In order to solve the shortcomings of the existing mathematical expressions of the user's personalized recommendation search and to increase the accuracy of the user's personalized information recommendation, in this study, the collaborative filtering algorithm, the related theory of fuzzy...
Research Article

A Novel Particle Swarm Optimization Approach to Support Decision-Making in the Multi-Round of an Auction by Game Theory

Trinh Ngoc Bao, Quyet-Thang Huynh, Xuan-Thang Nguyen, Gia Nhu Nguyen, Dac-Nhuong Le
Pages: 1447 - 1463
In this paper, game-theoretic optimization by particle swarm optimization (PSO) is used to determine the Nash equilibrium value, in order to resolve the confusion in choosing appropriate bidders in multi-round procurement. To this end, we introduce an approach that proposes (i) a game-theoretic model...
Research Article

Wood Species Recognition with Small Data: A Deep Learning Approach

Yongke Sun, Qizhao Lin, Xin He, Youjie Zhao, Fei Dai, Jian Qiu, Yong Cao
Pages: 1451 - 1460
Wood species recognition is an important work in the wood trade and wood commercial activities. Although many recognition methods were presented in recent years, the existing wood species recognition methods mainly use shallow recognition models with low accuracy and are still unsatisfying for many real-world...
Research Article

Econometric Analysis of Disequilibrium Relations Between Internet Finance and Real Economy in China

Yixiao Li, Xin Jin, Wenwen Tian
Pages: 1454 - 1464
In this paper, we evaluate the development level of internet finance by focusing on three major virtual economies, internet “Baby” fund, internet financial credit and Shanghai Composite Index for the first time. We examine the disequilibrium relations between the development of both internet finance...
Research Article

Multi-UAV Cooperative Task Assignment Based on Orchard Picking Algorithm

Weiheng Liu, Xin Zheng, Harish Garg
Pages: 1461 - 1467
The multi-unmanned aerial vehicle (UAV) must autonomously perform reconnaissance-attack-evaluation tasks under multiple constraints in the battlefield environment. This paper proposes a nearest neighbor method designed with the shortest neighboring distance as an indicator which quickly solves the optimal...
Research Article

On Relationship between L-valued Approximation Spaces and L-valued Transformation Systems

Sutapa Mahato, S.P. Tiwari
Pages: 1464 - 1472
The objective of this paper is to establish the relationship between L-valued approximation spaces and L-valued transformation systems. We show that for each L-valued upper/lower fuzzy transformation system there exist an L-valued reflexive approximation space and vice versa. In between, we study the...
Research Article

A Method to Multi-Attribute Group Decision-Making Problem with Complex q-Rung Orthopair Linguistic Information Based on Heronian Mean Operators

Peide Liu, Zeeshan Ali, Tahir Mahmood
Pages: 1465 - 1496
The notions of complex q-rung orthopair fuzzy sets (Cq-ROFSs) and linguistic sets (LSs) are two different concepts to deal with uncertain information in multi-attribute group decision-making (MAGDM) problems. The Heronain mean (HM) and geometric Heronain mean (GHM) operators are an effective tool used...
Research Article

A Novel Model for Assessing e-Government Websites Using Hybrid Fuzzy Decision-Making Methods

Masoud Shayganmehr, Gholam Ali Montazer
Pages: 1468 - 1488
Websites are considered as the core infrastructure of e-government, so evaluating the quality of websites assists organizations to provide high-quality online services to citizens. For this purpose, this paper is seeking to design a model that enables any organization to evaluate the quality of its websites...
Research Article

Attribute Reduction of Boolean Matrix in Neighborhood Rough Set Model

Yan Gao, Changwei Lv, Zhengjiang Wu
Pages: 1473 - 1482
Neighborhood rough set is a powerful tool to deal with continuous value information systems. Graphics processing unit (GPU) computing can efficiently accelerate the calculation of the attribute reduction and approximation sets based on matrix. In this paper, we rewrite neighborhood approximation sets...
Research Article

Contextualizing Support Vector Machine Predictions

Marcelo Loor, Guy De Tré
Pages: 1483 - 1497
Classification in artificial intelligence is usually understood as a process whereby several objects are evaluated to predict the class(es) those objects belong to. Aiming to improve the interpretability of predictions resulting from a support vector machine classification process, we explore the use...
Research Article

A Proposed Order Prediction Methodology for Vendor-Managed Inventory System in FMCG Sector Based on Interval-Valued Intuitionistic Fuzzy Sets

Murat Levent Demircan, Ekin Merdan
Pages: 1489 - 1500
Vendor-managed inventory (VMI) is a supply chain coordination improvement system. Due to the vendor’s responsibility for the replenishment decision, demand forecasting and quick response for retailers’ demand fluctuations are crucial in a VMI system. Our study focuses on order prediction of the VMI for...
Research Article

Fuzzy System Based on Two-Step Cascade Genetic Optimization Strategy for Tobacco Tar Prediction

Muamer Kafadar, Zikrija Avdagic, Lejla Begic Fazlic
Pages: 1497 - 1511
There are many challenges in accurately measuring cigarette tar constituents. These include the need for standardized smoke generation methods related to unstable mixtures. In this research were developed algorithms using fusion of artificial intelligence methods to predict tar concentration. Outputs...
Research Article

Uncertain Random Optimization Models Based on System Reliability

Qinqin Xu, Yuanguo Zhu
Pages: 1498 - 1506
The reliability of a dynamic system is not constant under uncertain random environments due to the interaction of internal and external factors. The existing researches have shown that some complex systems may suffer from dependent failure processes which arising from hard failure and soft failure. In...
Research Article

Water-Energy-Food Nexus and Eco-Sustainability: A Three-Stage Dual-Boundary Network DEA Model for Evaluating Jiangsu Province in China

Jianxuan Li, Sijing Liu, Yizhao Zhao, Zaiwu Gong, Guo Wei, Lihong Wang
Pages: 1501 - 1515
The water–energy–food (W-E-F) nexus approach has become the basis for a host of many methods addressing the security of global resources, whose methods are often nonparametric, due to the complex and indefinable relationship among the three. In this work, the nonparametric evaluation method data envelopment...
Research Article

Cancer Cell Detection through Histological Nuclei Images Applying the Hybrid Combination of Artificial Bee Colony and Particle Swarm Optimization Algorithms

Faozia Ali Alsarori, Hilal Kaya, Javad Rahebi, Daniela E. Popescu, D. Jude Hemanth
Pages: 1507 - 1516
Cancer is a fatal disease that is continuously growing in the developed countries. It is also considered as a main global human health problem. Based on several studies, which have been conducted so far, we found out that Hybrid Particle Swarm Optimization and Artificial Bee Colony Algorithm has never...
Research Article

An Extreme Learning Machine and Gene Expression Programming-Based Hybrid Model for Daily Precipitation Prediction

Yuzhong Peng, Huasheng Zhao, Hao Zhang, Wenwei Li, Xiao Qin, Jianping Liao, Zhiping Liu, Jie Li
Pages: 1512 - 1525
Accurate daily precipitation prediction is crucially important. However, it is difficult to predict the precipitation accurately due to inherently complex meteorological factors and dynamic behavior of weather. Recently, considerable attention has been devoted in soft computing-based prediction approaches....
Research Article

Certain Properties of Single-Valued Neutrosophic Graph With Application in Food and Agriculture Organization

Shouzhen Zeng, Muhammad Shoaib, Shahbaz Ali, Florentin Smarandache, Hossein Rashmanlou, Farshid Mofidnakhaei
Pages: 1516 - 1540
Fuzzy graph models are present everywhere from natural to artificial structures, embodying the dynamic processes in physical, biological, and social systems. As real-life problems are often uncertain on account of inconsistent and indeterminate information, it seems very demanding for an expert to model...
Research Article

Numerical Solution for Fuzzy Initial Value Problems via Interactive Arithmetic: Application to Chemical Reactions

Vinícius F. Wasques, Estevão Esmi, Laécio C. Barros, Peter Sussner
Pages: 1517 - 1529
This paper studies numerical solutions for fuzzy initial value problems, where the initial conditions are given by interactive fuzzy numbers. The fuzzy solution is given by a numerical method that employs the arithmetic of interactive fuzzy numbers and yields a fuzzy number at each instant of time. The...
Research Article

Energy Analysis on Localization Free Routing Protocols in UWSNs

Yuvaraja Teekaraman, Pranesh Sthapit, Miheung Choe, Kiseon Kim
Pages: 1526 - 1536
The challenges faced in underwater communication systems are limited bandwidth, Energy consumption rate, larger propagation delay time, End-End Delay (E-ED), 3D topology, media access control, routing, resource utilization and power constraints. These issues and challenges are solved by means of deploying...
Research Article

Fuzzy Type Relations and Transformation Operators Defined by Monads

Jiří Močkoř
Pages: 1530 - 1538
Using the theory of monads in categories and the theory of monadic relations, the concept of general transformation operator defined by a monadic relation is introduced. It is proven that a number of standard relations used in categories of fuzzy structures are monadic relations for monads defined in...
Research Article

A Siamese Neural Network Application for Sales Forecasting of New Fashion Products Using Heterogeneous Data

Giuseppe Craparotta, Sébastien Thomassey, Amedeo Biolatti
Pages: 1537 - 1546
In the fashion market, the lack of historical sales data for new products imposes the use of methods based on Stock Keeping Unit (SKU) attributes. Recent works suggest the use of functional data analysis to assign the most accurate sales profiles to each item. An application of siamese neural networks...
Research Article

APOLLO: A Fuzzy Multi-criteria Group Decision-Making Tool in Support of Climate Policy

Álvaro Labella, Konstantinos Koasidis, Alexandros Nikas, Apostolos Arsenopoulos, Haris Doukas
Pages: 1539 - 1553
Multi-criteria decision-making is a daily process in everyday life, in which different alternatives are evaluated over a set of conflicting criteria. Decision-making is becoming increasingly complex, and the apparition of uncertainty and vagueness is inevitable, especially when related to sustainability...
Research Article

The Arithmetic Operator of Fuzzy Regular Prismoid Numbers and Its Application to Fuzzy Risk Analysis

Shexiang Hai
Pages: 1541 - 1563
We devote to study the arithmetic operator of fuzzy regular prismoid numbers as well as the degree of similarity between fuzzy regular prismoid numbers, and then the arithmetic operator and the degree of similarity are applied in risk analysis. Firstly, the arithmetic operator of fuzzy regular prismoid...
Research Article

GRA Method for Probabilistic Linguistic Multiple Attribute Group Decision Making with Incomplete Weight Information and Its Application to Waste Incineration Plants Location Problem

Fan Lei, Guiwu Wei, Jianping Lu, Jiang Wu, Cun Wei
Pages: 1547 - 1556
In this essay, we investigate the probabilistic linguistic multiple attribute group decision making (PL-MAGDM) with incomplete weight information. In this method, the linguistic representation developed recently is converted into probabilistic linguistic information. For deriving the weight information...
Research Article

A New Hybrid and Ensemble Gene Selection Approach with an Enhanced Genetic Algorithm for Classification of Microarray Gene Expression Values on Leukemia Cancer

Mehmet Bilen, Ali H. Işik, Tuncay Yiğit
Pages: 1554 - 1566
Leukemia cancer, like other types of cancer, is a deadly health condition that threatens the lives of many people around the world. Micro array data are used extensively to reveal the gene-cancer as well as gene–gene relationships of Leukemia cancer due to the fact that it allows the expression value...
Research Article

2-Dimension Linguistic Bonferroni Mean Aggregation Operators and Their Application to Multiple Attribute Group Decision Making

Jianbin Zhao, Hua Zhu
Pages: 1557 - 1574
The aim of this paper is to provide a multiple attribute group decision making (MAGDM) method based on the 2-dimension linguistic weight Bonferroni mean aggregation (2DLWBMA) operator. Firstly, the new operations of 2-dimension linguistic variables are defined. Then, the 2-dimension linguistic Bonferroni...
Research Article

Recommendation Algorithm Based on Knowledge Graph to Propagate User Preference

Zhisheng Yang, Jinyong Cheng
Pages: 1564 - 1576
In recommendation algorithms, data sparsity and cold start problems are inevitable. To solve such problems, researchers apply auxiliary information to recommendation algorithms, mine users’ historical records to obtain more potential information, and then improve recommendation performance. In this paper,...
Research Article

Graphical Analysis of the Progression of Atrial Arrhythmia Using Recurrent Neural Networks

Nahuel Costa, Jesús Fernández, Inés Couso, Luciano Sánchez
Pages: 1567 - 1577
Pacemaker logs are used to predict the progression of paroxysmal cardiac arrhythmia to permanent atrial fibrillation by means of different deep learning algorithms. Recurrent Neural Networks are trained on data produced by a generative model. The activations of the different nets are displayed in a graphical...
Research Article

Building an Artificial Neural Network with Backpropagation Algorithm to Determine Teacher Engagement Based on the Indonesian Teacher Engagement Index and Presenting the Data in a Web-Based GIS

Sasmoko Buddhtha, Christina Natasha, Edy Irwansyah, Widodo Budiharto
Pages: 1575 - 1584
Teacher engagement is a newly-emerged concept in the field of Indonesian teacher education. To support this concept, we designed an artificial neural network (ANN) using backpropagation, stochastic learning, and steepest gradient descent algorithms to determine teacher engagement based on the Indonesian...
Research Article

A Single Historical Painting Super-Resolution via a Reference-Based Zero-Shot Network

Hongzhen Shi, Dan Xu, Hao Zhang, YingYing Yue
Pages: 1577 - 1588
As an important part of human cultural heritage, many ancient paintings have suffered from various deteriorations that have led to texture blurring, color fading, etc. Single image super-resolution (SISR) which aims to recover a high-resolution (HR) version from a low-resolution (LR) input is actively...
Research Article

Sequential Prediction of Glycosylated Hemoglobin Based on Long Short-Term Memory with Self-Attention Mechanism

Xiaojia Wang, Wenqing Gong, Keyu Zhu, Lushi Yao, Shanshan Zhang, Weiqun Xu, Yuxiang Guan
Pages: 1578 - 1589
Type 2 diabetes mellitus (T2DM) has been identified as one of the most challenging chronic diseases to manage. In recent years, the incidence of T2DM has increased, which has seriously endangered people’s health and life quality. Glycosylated hemoglobin (HbA1c) is the gold standard clinical indicator...
Research Article

Strategic Management of Organizational Knowledge and Employee's Awareness About Artificial Intelligence With Mediating Effect of Learning Climate

Mohammed Majdy M. Baslom, Shu Tong
Pages: 1585 - 1591
This study has aimed to examine the empirically relationship between strategic management of organizational knowledge and awareness about artificial intelligence (AI) through mediating effect of learning climate in service sector of Saudi Arabia. For better understanding, a structural questionnaire was...
Research Article

Integrating Pattern Features to Sequence Model for Traffic Index Prediction

Yueying Zhang, Zhijie Xu, Jianqin Zhang, Jingjing Wang, Lizeng Mao
Pages: 1589 - 1596
Intelligent traffic system (ITS) is one of the effective ways to solve the problem of traffic congestion. As an important part of ITS, traffic index prediction is the key of traffic guidance and traffic control. In this paper, we propose a method integrating pattern feature to sequence model for traffic...
Research Article

Application of Fuzzy C-Mean Clustering Based on Multi-Polar Fuzzy Entropy Improvement in Dynamic Truck Scale Cheating Recognition

Zhenyu Lu, Xianyun Huang
Pages: 1590 - 1597
In the big data background, the uncertainty of data is increasingly apparent. Multi-polar fuzzy feature of data has been more popularly used by the research community for the purpose of the classification of weighing cheating in dynamic truck scale characteristic and the clustering problem of multi-polar...
Research Article

An Advanced Deep Residual Dense Network (DRDN) Approach for Image Super-Resolution

Wang Wei, Jiang Yongbin, Luo Yanhong, Li Ji, Wang Xin, Zhang Tong
Pages: 1592 - 1601
In recent years, more and more attention has been paid to single image super-resolution reconstruction (SISR) by using deep learning networks. These networks have achieved good reconstruction results, but how to make better use of the feature information in the image, how to improve the network convergence...
Research Article

Par4 Parallel Robot Trajectory Tracking Control Based on DMR-GWO2 and Fuzzy Predictive

Xiaoqing Zhang, Zhengfeng Ming
Pages: 1597 - 1606
A dynamic Grey Wolf Optimizer (GWO) is proposed, noted as DGWO2, and a novel dynamic improved GWO algorithm is obtained after transferring the mutation operator and the eliminating–reconstructing mechanism to the DGWO2, noted as DMR-GWO2. A Type-2 fuzzy predictive compensation PID trajectory tracking...
Research Article

A Learning-Based Framework for Identifying MicroRNA Regulatory Module

Yi Yang
Pages: 1598 - 1607
Accurate identification of microRNA regulatory modules can give insights to understand microRNA synergistical regulatory mechanism. However, the identification accuracy suffers from incomplete biological data. In this paper, we proposed a learning-based framework called MicroRNA regulatory module dentification...
Research Article

Subgroup Discovery on Multiple Instance Data

J. M. Luna, C. J. Carmona, A. M. García-Vico, M. J. del Jesus, S. Ventura
Pages: 1602 - 1612
To date, the subgroup discovery (SD) task has been considered in problems where a target variable is unequivocally described by a set of features, also known as instance. Nowadays, however, with the increasing interest in data storage, new data structures are being provided such as the multiple instance...
Research Article

Detecting COVID-19 Patients in X-Ray Images Based on MAI-Nets

Wei Wang, Xiao Huang, Ji Li, Peng Zhang, Xin Wang
Pages: 1607 - 1616
COVID-19 is an infectious disease caused by virus SARS-CoV-2 virus. Early classification of COVID-19 is essential for disease cure and control. Transcription-polymerase chain reaction (RT-PCR) is used widely for the detection of COVID-19. However, its high cost, time-consuming and low sensitivity will...
Research Article

An Evolutionary Self-organizing Cost-Sensitive Radial Basis Function Neural Network to Deal with Imbalanced Data in Medical Diagnosis

Jia-Chao Wu, Jiang Shen, Man Xu, Fu-Sheng Liu
Pages: 1608 - 1618
Class imbalance is a common issue in medical diagnosis. Although standard radial basis function neural network (RBF-NN) has achieved remarkably high performance on balanced data, its ability to classify imbalanced data is still limited. So far as we know, cost-sensitive learning is an advanced imbalanced...
Research Article

Character-Level Quantum Mechanical Approach for a Neural Language Model

Zhihao Wang, Min Ren, Xiaoyan Tian, Xia Liang
Pages: 1613 - 1621
This article proposes a character-level neural language model (NLM) that is based on quantum theory. The input of the model is the character-level coding represented by the quantum semantic space model. Our model integrates a convolutional neural network (CNN) that is based on network-in-network (NIN)....
Research Article

Analytical Reduction Method for New Type-2 Fuzzy Chance-Constrained Portfolio Selection Model

Guang Yang, Mei Cai, Jindong Qin, Xinwang Liu, Xu Zhang
Pages: 1617 - 1632
In the traditional portfolio selection problem, asset returns are modeled as fuzzy variables with fuzzy return. However, this approach is limited in its ability to capture uncertainty accurately and in analytical model solving. Here, we aim to develop a new fuzzy chance-constrained portfolio model with...
Research Article

Information Structures in an Ordered Information System Under Granular Computing View and Their Optimal Selection Based on Uncertainty Measures

Yini Wang, Sichun Wang, Hongxiang Tang
Pages: 1619 - 1635
Information structures (i-structures) in an ordered information system (OIS) are mathematical structures of the information granules (i-granules) granulated from the data set of this OIS. This article investigates i-structures in an OIS with granular computing (GrC) view, i.e., i-structures in an OIS...
Research Article

Music Emotion Recognition by Using Chroma Spectrogram and Deep Visual Features

Mehmet Bilal Er, Ibrahim Berkan Aydilek
Pages: 1622 - 1634
Music has a great role and importance in human life since it has the ability to trigger or convey feelings. As recognizing music emotions is the subject of many studies conducted in many disciplines like science, psychology, musicology and art, it has attracted the attention of researchers as an up-to-date...
Research Article

The Value Function with Regret Minimization Algorithm for Solving the Nash Equilibrium of Multi-Agent Stochastic Game

Luping Liu, Wensheng Jia
Pages: 1633 - 1641
In this paper, we study the value function with regret minimization algorithm for solving the Nash equilibrium of multi-agent stochastic game (MASG). To begin with, the idea of regret minimization is introduced to the value function, and the value function with regret minimization algorithm is designed....
Research Article

A Statistical Approach to Provide Explainable Convolutional Neural Network Parameter Optimization

Saman Akbarzadeh, Selam Ahderom, Kamal Alameh
Pages: 1635 - 1648
Algorithms based on convolutional neural networks (CNNs) have been great attention in image processing due to their ability to find patterns and recognize objects in a wide range of scientific and industrial applications. Finding the best network and optimizing its hyperparameters for a specific application...
Research Article

Multiple Bipolar Fuzzy Measures: An Application to Community Detection Problems for Networks with Additional Information

Inmaculada Gutiérrez, Daniel Gómez, Javier Castro, Rosa Espínola
Pages: 1636 - 1649
In this paper we introduce the concept of multiple bipolar fuzzy measures as a generalization of a bipolar fuzzy measure. We also propose a new definition of a group, which is based on the multidimensional bipolar fuzzy relations of its elements. Taking into account this information, we provide a novel...
Research Article

A Regulatable Blockchain Transaction Model with Privacy Protection

Zhiyuan Xue, Miao Wang, Qiuyue Zhang, Yunfeng Zhang, Peide Liu
Pages: 1642 - 1652
Blockchain is a decentralized distributed ledger technology. The public chain represented by Bitcoin and Ethereum only realizes the limited anonymity of user identity, and the transaction amount is open to the whole network, resulting in user privacy leakage. Based on the existing anonymous technology,...
Research Article

Evaluation on the Efficiency of Water-Energy-Food Nexus Based on Data Envelopment Analysis (DEA) and Malmquist in Different Regions of China

Tianming Zhang, Yejun Xu
Pages: 1649 - 1659
Water-energy-food (W-E-F) nexus is an essential element for human survival, as well as the basis for the sustainable development of regional economy and ecological environment. Water resource is an important input element of energy production and food production, which makes the W-E-F nexus become closer...
Research Article

Flexible Bootstrap for Fuzzy Data Based on the Canonical Representation

Przemyslaw Grzegorzewski, Olgierd Hryniewicz, Maciej Romaniuk
Pages: 1650 - 1662
Several new resampling methods for generating bootstrap samples of fuzzy numbers are proposed. To avoid undesired repetitions in the secondary samples we do not draw randomly directly observations from the primary samples but construct them allowing for some modifications in their membership functions,...
Research Article

Some Cosine Similarity Measures and Distance Measures between Complex q-Rung Orthopair Fuzzy Sets and Their Applications

Peide Liu, Zeeshan Ali, Tahir Mahmood
Pages: 1653 - 1671
As a modification of the q-rung orthopair fuzzy sets (QROFSs), complex QROFSs (CQROFSs) can describe the inaccurate information by complex-valued truth grades with an additional term, named as phase term. Cosine similarity measures (CSMs) and distance measures (DMs) are important tools to verify the...
Research Article

A New Approach for Low-Dimensional Constrained Engineering Design Optimization Using Design and Analysis of Simulation Experiments

Amir Parnianifard, Ratchatin Chancharoen, Gridsada Phanomchoeng, Lunchakorn Wuttisittikulkij
Pages: 1663 - 1678
The number of function evaluations in many industrial applications of simulation-based optimization problems is strictly limited. Therefore, only little analytical information on objective and constraint functions is available. This paper presents an adaptive algorithm called the Surrogate-Based Constrained...
Research Article

Size and Location Diagnosis of Rolling Bearing Faults: An Approach of Kernel Principal Component Analysis and Deep Belief Network

Heli Wang, Haifeng Huang, Sibo Yu, Weijie Gu
Pages: 1672 - 1686
Diagnosing incipient faults of rotating machines is very important for reducing economic losses and avoiding accidents caused by faults. However, diagnoses of locations and sizes of incipient faults are very difficult in a noisy background. In this paper, we propose a fault diagnosis method that combines...
Research Article

A New Aggregation Operator Based on Uninorms in L*-Fuzzy Set

Minxia Luo, Yue Zhang, Bei Liu
Pages: 1679 - 1686
In practical applications, some existing multi-attribute decision-making methods based on the L∗ fuzzy set theory suffer from a lot of shortcomings, namely, incorrect choice preference orders of alternatives are obtained in some cases. In this paper, we construct a new aggregation operator based on uninorms...
Research Article

Simpful: A User-Friendly Python Library for Fuzzy Logic

Simone Spolaor, Caro Fuchs, Paolo Cazzaniga, Uzay Kaymak, Daniela Besozzi, Marco S. Nobile
Pages: 1687 - 1698
Many researchers have used fuzzy set theory and fuzzy logic in a variety of applications related to computer science and engineering, given the capability of fuzzy inference systems to deal with uncertainty, represent vague concepts, and connect human language to numerical data. In this work we propose...
Research Article

Construction of Garment Pattern Design Knowledge Base Using Sensory Analysis, Ontology and Support Vector Regression Modeling

Zhujun Wang, Jianping Wang, Xianyi Zeng, Xuyuan Tao, Yingmei Xing, Pascal Bruniaux
Pages: 1687 - 1699
Garment pattern design is an extremely significant factor for the success of fashion company in mass customization and industry 4.0. In this paper, we proposed a new approach for constructing a garment pattern design knowledge base (GPDKB) using sensory analysis, ontology and support vector regression...
Research Article

Link Prediction in Social Networks by Neutrosophic Graph

Rupkumar Mahapatra, Sovan Samanta, Madhumangal Pal, Qin Xin
Pages: 1699 - 1713
The computation of link prediction is one of the most important tasks on a social network. Several methods are available in the literature to predict links in networks and RSM index is one of them. The RSM index is applicable in the fuzzy environment and it does not incorporate the notion of falsity...
Research Article

Improved Knowledge Measures for q-Rung Orthopair Fuzzy Sets

Muhammad Jabir Khan, Poom Kumam, Meshal Shutaywi, Wiyada Kumam
Pages: 1700 - 1713
The q-rung orthopair fuzzy set (qROFS) defined by Yager is a generalization of Atanassov intuitionistic fuzzy set (IFS) and Pythagorean fuzzy sets (PyFSs). In this paper, we define the knowledge measure for qROFS by using the cosine inverse function. The information precision and information content...
Research Article

Tree-Based Contrast Subspace Mining for Categorical Data

Florence Sia, Rayner Alfred, Yuto Lim
Pages: 1714 - 1722
Mining contrast subspace has emerged to find subspaces where a particular queried object is most similar to the target class against the non-target class in a two-class data set. It is important to discover those subspaces, which are known as contrast subspaces, in many real-life applications. Tree-Based...
Research Article

A Distributed Urban Traffic Congestion Prevention Mechanism for Mixed Flow of Human-Driven and Autonomous Electric Vehicles

Chenn-Jung Huang, Kai-Wen Hu, Hsing Yi Ho, Bing Zhen Xie, Chien-Chih Feng, Hung-Wen Chuang
Pages: 1714 - 1727
Traffic congestion in urban areas has become a critical problem that municipal governments cannot overlook. Meanwhile, mixed traffic systems containing both autonomous and human-driven electric vehicles ramp up the challenge for traffic management in urban areas. Although numerous researchers have proposed...
Research Article

An Outranking Approach for Gene Prioritization Using Multinetworks

Jesús Jaime Solano Noriega, Juan Carlos Leyva López, Fiona Browne, Jun Liu
Pages: 1728 - 1741
High-throughput experimental techniques such as genome-wide association studies have been instrumental in the identification of disease-associated genes. These methods often produce large lists of disease candidate genes which are time-consuming and expensive to experimentally validate. Computational...
Research Article

A New Approach for the 10.7-cm Solar Radio Flux Forecasting: Based on Empirical Mode Decomposition and LSTM

Junqi Luo, Liucun Zhu, Hongbing Zhu, Wei Chien, Jiahai Liang
Pages: 1742 - 1752
The daily 10.7-cm Solar Radio Flux (F10.7) data is a time series with highly volatile. The accurate prediction of F10.7 has a great significance in the fields of aerospace and meteorology. At present, the prediction of F10.7 is mainly carried out by linear models, nonlinear models, or a combination of...
Research Article

Tactile–Visual Fusion Based Robotic Grasp Detection Method with a Reproducible Sensor

Yaoxian Song, Yun Luo, Changbin Yu
Pages: 1753 - 1762
Robotic grasp detection is a fundamental problem in robotic manipulation. The conventional grasp methods, using vision information only, can cause potential damage in force-sensitive tasks. In this paper, we propose a tactile–visual based method using a reproducible sensor to realize a fine-grained and...
Research Article

An Intelligent Hybrid System for Forecasting Stock and Forex Trading Signals using Optimized Recurrent FLANN and Case-Based Reasoning

D. K. Bebarta, T. K. Das, Chiranji Lal Chowdhary, Xiao-Zhi Gao
Pages: 1763 - 1772
An accurate prediction of future stock market trends is a bit challenging as it requires a profound understanding of stock technical indicators, including market-dominant factors and inherent process mechanism. However, the significance of better trading decisions for a successful trader inspires researchers...
Research Article

Cliques and Clique Covers in Interval-Valued Fuzzy Graphs

Napur Patra, Tarasankar Pramanik, Madhumangal Pal, Sukumar Mondal
Pages: 1773 - 1783
Finding cliques and clique covers in graphs are one of the most needful tasks. In this paper, interval-valued fuzzy cliques (IVFQs) and interval-valued fuzzy clique covers (IVFQCs) of an interval-valued fuzzy graph (IVFG) are introduced by introducing the fuzziness because, the crisp graphs has some...
Research Article

Transitive Closures of Ternary Fuzzy Relations

Lemnaouar Zedam, Bernard De Baets
Pages: 1784 - 1795
Recently, we have introduced six types of composition of ternary fuzzy relations. These compositions are close in spirit to the composition of binary fuzzy relations. Based on these types of composition, we have introduced several types of transitivity of a ternary fuzzy relation and investigated their...
Research Article

Multi-Tier Student Performance Evaluation Model (MTSPEM) with Integrated Classification Techniques for Educational Decision Making

E. S. Vinoth Kumar, S. Appavu alias Balamurugan, S. Sasikala
Pages: 1796 - 1808
In present decade, many Educational Institutions use classification techniques and Data mining concepts for evaluating student records. Student Evaluation and classification is very much important for improving the result percentage. Hence, Educational Data Mining based models for analyzing the academic...