International Journal of Computational Intelligence Systems

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1146 articles

II-Learn—A Novel Metric for Measuring the Intelligence Increase and Evolution of Artificial Learning Systems

László Barna Iantovics, Dimitris K. Iakovidis, Elena Nechita
Pages: 1323 - 1338
A novel accurate and robust metric called II-Learn for measuring the increase of intelligence of a system after a learning process is proposed. We define evolving learning systems, as systems that are able to make at least one measurable evolutionary step by learning. To prove the effectiveness of the...

Crash Severity Evaluation for Unsignalized Intersection Using Conflict Data

Rui Li, Wenquan Li, Linheng Li, Changjiang Zheng, Bin Ran, Yang Cheng
Pages: 1325 - 1333
This paper evaluates crash severity of unsignalized intersection using Conflict Index. Crash and Conflict Severity Model is developed to show the relationship between Crash Index and Conflict Index. The validity and reliability of this model are proved by comparing the Model Ranking and Wisconsin Statewide...

Cascades Tolerance of Scale-Free Networks with Attack Cost

Chen Hong, Nai-Yu Yin, Ning He, Oriol Lordan, Jose Maria Sallan
Pages: 1330 - 1336
Network robustness against cascades is a major topic in the fields of complex networks. In this paper, we propose an attack-cost-based cascading failure model, where the attack cost of nodes is positively related to its degree. We compare four attacking strategies: the random removal strategy (RRS),...

Safety analysis of independent columns mounted on isolated bearing system

Yu Dang, Chenghao Liu, Hong Zhao
Pages: 1334 - 1341
This paper explores the safety performance of independent column mounted on isolated bearing. Considering large displacement of the isolator bearing under earthquake, the accumulated permanent deformations in the independent column may render gravity forces the dominant forces and make the system collapse...

Evolutionary Multi-objective Optimization for Multi-depot Vehicle Routing in Logistics

Xiaowen Bi, Zeyu Han, Wallace K. S. Tang
Pages: 1337 - 1344
Delivering goods in an efficient and cost-effective way is always a challenging problem in logistics. In this paper, the multi-depot vehicle routing is focused. To cope with the conflicting requirements, an advanced multi-objective evolutionary algorithm is proposed. Local-search empowered genetic operations...

On a knowledge measure and an unorthodox accuracy measure of an intuitionistic fuzzy set(s) with their applications

Sumita Lalotra, Surender Singh
Pages: 1338 - 1356
A measure of knowledge may be viewed as a dual measure of entropy in a fuzzy system; thus, it appears that the less entropy may always accompany the greater amount of knowledge. In this paper, we propose a novel measure of knowledge for an intuitionistic fuzzy set (IFS) through an axiomatic approach....

On Consistency and Priority Weights for Uncertain 2-Tuple Linguistic Preference Relations

Peng Wu, Jiaming Zhu, Ligang Zhou, Huayou Chen, Yu Chen
Pages: 1339 - 1352
Consistency and priority weights of preference relations are two important phases of decision-making process since the decision-making solutions are determined by them. Therefore, it is meaningful to investigate consistency and priority weights for preference relations. In this paper, consistency and...

Application and evaluation about obstacle edge extraction technology in the parking assistant system

Sang Feng, Xingbin Chen, Shuohua Chen, Xiao Lu
Pages: 1342 - 1349
The obstacle edge detection technology used in the parking assistant system helps drivers avoid obstacles, especially for inexperienced drivers. Reversing image processing, as part of smart driving, must meet the parking requirements of real-time and accuracy. Processing system should convert the color...

A Multi-objective Evolutionary Algorithm with Dynamic Topology and its Application to Network-Wide Flight Trajectory Planning

Su Yan, Kaiquan Cai, Majed Swaid
Pages: 1345 - 1354
Although conventional multi-objective evolutionary optimization algorithms (MOEAs) are proven to be effective in general, they are less superior when applied to solve a large-scale combinational real-world optimization problem with tightly coupled decision variables. For the purpose to enhance the capability...

Car Travel Time Estimation near a Bus Stop with Non-motorized Vehicles

Yang Xiaobao, Huan Mei, Guo Hongwei, Gao Liang
Pages: 1350 - 1357
Real time system for vehicle travel time and traffic flow is an essential part of Intelligent Transportation Systems. In many Chinese cities, the interactions among buses, bicycles and cars bring difficulty to travel time prediction and traffic safety management. The aim of this paper is to develop a...

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...

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...

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...

A Novel Description Method for Track Irregularity Evolution

Peng Xu, Rengkui Liu, Futian Wang, Quanxin Sun, Hualiang Teng
Pages: 1358 - 1366
Track Irregularity has a significant influence on the safety of train operation. Due to the fact that the extremely large number of factors affect track irregularity it is challenging to find a concise yet effective mathematical method to describe the evolution of track irregularity. In this paper, inspection...

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...

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...

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...

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...

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...

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....

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....

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...

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...

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...

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...

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...

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...

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...

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...

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 sets, and...

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...

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...

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...

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....

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...

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...

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...

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...

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...

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...

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...

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...

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)....

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...

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...

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...