International Journal of Computational Intelligence Systems

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1040 articles

Optimized Differential Evolution Algorithm for Software Testing

Xiaodong Gou, Tingting Huang, Shunkun Yang, Mengxuan Su, Fuping Zeng
Pages: 215 - 226
Differential evolution (DE) algorithms for software testing usually exhibited limited performance and stability owing to possible premature-convergence-related aging during evolution processes. This paper proposes a new framework comprising an antiaging mechanism, that is, a rebirth strategy with partial...

A Novel Comparative Linguistic Distance Measure Based on Hesitant Fuzzy Linguistic Term Sets and Its Application in Group Decision-Making

Mei Cai, Yiming Wang, Zaiwu Gong, Guo Wei
Pages: 227 - 237
The linguistic approaches are required in order to assess qualitative aspects of many real problems. In most of these problems, decision makers only adopt single and very simple terms which would not reflect exactly what the experts mean for many intricate applications. Frequently, the assessments of...

Localization of a Mobile Device with Sensor Using a Cascade Artificial Neural Network-Based Fingerprint Algorithm

Ebubekir Erdem, Taner Tuncer, Resul Doğan
Pages: 238 - 249
One of the important functions of sensor networks is that they collect data from the physical environment and transmit them to a center for processing. The location from which the collected data is obtained is crucial in many applications, such as search and rescue, disaster relief, and target tracking....

A Hybrid Learnt Clause Evaluation Algorithm for SAT Problem

Guanfeng Wu, Qingshan Chen, Yang Xu, Xingxing He
Pages: 250 - 258
It is of great theoretical and practical significance to develop the efficient SAT solvers due to its important applications in hardware and software verifications and so on, and learnt clauses play the crucial role in state of the art SAT solvers. In order to effectively manage learnt clauses, avoid...

Design of Fuzzy Controllers for Embedded Systems With JFML

J.M. Soto-Hidalgo, A. Vitiello, J.M. Alonso, G. Acampora, J. Alcala-Fdez
Pages: 204 - 214
Fuzzy rule-based systems (FRBSs) have been successfully applied to a wide range of real-world problems. However, they suffer from some design issues related to the difficulty to implement them on different hardware platforms without additional efforts. To bridge this gap, recently, the IEEE Computational...

A Methodology to Refine Labels in Web Search Results Clustering

Zaher Salah, Ahmad Aloqaily, Malak Al-Hassan, Abdel-Rahman Al-Ghuwairi
Pages: 299 - 310
Information retrieval systems like web search engines can be used to meet the user's information needs by searching and retrieving the relevant documents that match the user's query. Firstly, the query is inputted to the web search engine and assumed to be a good representative for the user's intention...

A Validation Approach for Ontology-Based Real-time DBMS

Wided Ben Abid, Mohamed Ben Ahmed Mhiri, Malek Ben Salem, Emna Bouazizi, Faiez Gargouri
Pages: 311 - 317
Real-time DBMS (DataBase Management Systems) are an appropriate storage system under real-time constraints. However real-time DBMS do not implement inference or reasoning mechanisms. Ontologies on the other hand allow these mechanisms by creating formal representations of concepts, properties and relationships...

A New Rewarding Mechanism for Branching Heuristic in SAT Solvers

Wenjing Chang, Yang Xu, Shuwei Chen
Pages: 334 - 341
Decision heuristic strategy can be viewed as one of the most central features of state-of-the-art conflict-driven clause-learning SAT solvers. Variable state independent decaying sum (VSIDS) still is the dominant branching heuristics because of its low cost. VSIDS consists of a rewarding mechanism for...

A New Algorithm of Mining High Utility Sequential Pattern in Streaming Data

Huijun Tang, Yangguang Liu, Le Wang
Pages: 342 - 350
High utility sequential pattern (HUSP) mining has emerged as a novel topic in data mining, its computational complexity increases compared to frequent sequences mining and high utility itemsets mining. A number of algorithms have been proposed to solve such problem, but they mainly focus on mining HUSP...

Multimodal Emotion Recognition Method Based on Convolutional Auto-Encoder

Jian Zhou, Xianwei Wei, Chunling Cheng, Qidong Yang, Qun Li
Pages: 351 - 358
Emotion recognition is of great significance to computational intelligence systems. In order to improve the accuracy of emotion recognition, electroencephalogram (EEG) signals and external physiological (EP) signals are adopted due to their perfect performance in reflecting the slight variations of emotions,...

Further Complete Solutions to Four Open Problems on Filter of Logical Algebras

Wei Wang, Pengxi Yang, Yang Xu
Pages: 359 - 366
This paper focuses on the investigation of filters of pseudo BCK-algebra and BL-algebra, important and popular generic commutative and non-commutative logical algebras. By characterizing Boolean filter and implicative filter in pseudo BCK-algebra, the essential equivalent relation between these two filters...

A New Edge Detection Method Based on Global Evaluation Using Supervised Classification Algorithms

Pablo A. Flores-Vidal, Guillermo Villarino, Daniel Daniel Gomez, Javier Montero
Pages: 367 - 378
Traditionally, the last step of edge detection algorithms, which is called scaling-evaluation, produces the final output classifying each pixel as edge or nonedge. This last step is usually done based on local evaluation methods. The local evaluation makes this classification based on measures obtained...

Fusion of Measures for Image Segmentation Evaluation

Macmillan Simfukwe, Bo Peng, Tianrui Li
Pages: 379 - 386
Image segmentation is an important task in image processing. However, no universally accepted quality scheme exists for evaluating the performance of various segmentation algorithms or just different parameterizations of the same algorithm. In this paper, an extension of a fusion-based framework for...

Enactment of Ensemble Learning for Review Spam Detection on Selected Features

Faisal Khurshid, Yan Zhu, Zhuang Xu, Mushtaq Ahmad, Muqeet Ahmad
Pages: 387 - 394
In the ongoing era of flourishing e-commerce, people prefer online purchasing products and services to save time. These online purchase decisions are mostly influenced by the reviews/opinions of others who already have experienced them. Malicious users use this experience sharing to promote or degrade...

A New Distance-Based Consensus Reaching Model for Multi-Attribute Group Decision-Making with Linguistic Distribution Assessments

Shengbao Yao
Pages: 395 - 409
This paper proposes a novel consensus reaching model for multi-attribute group decision making (MAGDM) with information represented by means of linguistic distribution assessments. Firstly, some drawbacks of the existing distance measures for linguistic distribution assessments are analyzed by using...

A Pythagorean Fuzzy TOPSIS Method Based on Novel Correlation Measures and Its Application to Multiple Criteria Decision Analysis of Inpatient Stroke Rehabilitation

Yu-Li Lin, Lun-Hui Ho, Shu-Ling Yeh, Ting-Yu Chen
Pages: 410 - 425
The complex nature of the realistic decision-making process requires the use of Pythagorean fuzzy (PF) sets which have been shown to be a highly promising tool capable of solving highly vague and imprecise problems. Multiple criteria decision analysis (MCDA) methods within the PF environment are very...

CPO: A Crow Particle Optimization Algorithm

Ko-Wei Huang, Ze-Xue Wu
Pages: 426 - 435
Particle swarm optimization (PSO) is the most well known of the swarm-based intelligence algorithms and is inspired by the social behavior of bird flocking. However, the PSO algorithm converges prematurely, which rapidly decreases the population diversity, especially when approaching local optima. Recently,...

Assessment of Healthcare Waste Treatment Alternatives Using an Integrated Decision Support Framework

Akshay Hinduja, Manju Pandey
Pages: 318 - 333
Healthcare waste (HCW) management has become a major environmental and public-health concern especially in developing countries, and therefore, it has been receiving increasing attention from both industrial practitioners and researcher in recent years. Selection of the optimal treatment technology for...

AEkNN: An AutoEncoder kNN-Based Classifier With Built-in Dimensionality Reduction

Francisco J. Pulgar, Francisco Charte, Antonio J. Rivera, María J. del Jesus
Pages: 436 - 452
High dimensionality tends to be a challenge for most machine learning tasks, including classification. There are different classification methodologies, of which instance-based learning is one. One of the best known members of this family is the k-nearest neighbors (kNNs) algorithm. Its strategy relies...

Combination Replicas Placements Strategy for Data sets from Cost-effective View in the Cloud*

Xiuguo Wu
Pages: 521 - 539
In the cloud storage system, data sets replicas technology can efficiently enhance data availability and thereby increase the system reliability by replicating commonly used data sets in geographically different data centers. Most current approaches largely focus on system performance improvement by...

A new access control method based on multi-authority in cloud storage service

Sheng Luo, Qiang Liu
Pages: 483 - 495
With the arrival of the era of big data, data has become a kind of important assets. In order to get a better utilization of big data, paid or unpaid data sharing will be a trend. And as one of key techniques to maintain security of data sharing, access control will play an important role in cloud storage...

Multi-adjoint based group decision-making under an intuitionistic fuzzy information system

Meishe Liang, Jusheng Mi, Tao Feng, Bin Xie
Pages: 172 - 182
The construction of belief intervals is crucial for decision-making in multi-attribute group information integration. Based on multi-adjoint and evidence theory, an approach to multi-criteria group decision-making(MCGDM) in intuitionistic fuzzy information system is proposed. First, the upper and lower...

Intelligent Biological Alarm Clock for Monitoring Autonomic Nervous Recovery During Nap

Jialan Xie, Wanhui Wen, Guangyuan Liu, Yongtao Li
Pages: 453 - 459
Nap is an effective way to reduce daily-level fatigue after several hours of work. However, no alarm clock, which intelligently manages the nap duration with good autonomic nervous recovery (ANR) from fatigue, has been reported in literature. In this work, an intelligent biological alarm clock algorithm...

A Novel Method Based on Extended Uncertain 2-tuple Linguistic Muirhead Mean Operators to MAGDM under Uncertain 2-Tuple Linguistic Environment

Yi Liu, Jun Liu, Ya Qin, Yang Xu
Pages: 498 - 512
The present work is focused on multi-attribute group decision-making (MAGDM) problems with the uncertain 2-tuple linguistic information (ULI2–tuple) based on new aggregation operators which can capture interrelationships of attributes by a parameter vector P. To begin with, we present some new uncertain...

An Improved NSGA-II Algorithm Based on Crowding Distance Elimination Strategy

Junhui Liu, Xindu Chen
Pages: 513 - 518
Aiming at the diversity of Nondominated Sorting Genetic Algorithm II (NSGA-II) in screening out nondominated solutions, a crowding distance elimination (CDE) method is proposed. Firstly, the crowding distance is calculated in the same level of nondominated solutions, and the solution of minimum crowding...

An Adaptive Control Method for Resource Provisioning with Resource Utilization Constraints in Cloud Computing

Siqian Gong, Beibei Yin, Zheng Zheng, Kai-yuan Cai
Pages: 485 - 497
Cloud computing enables users to purchase virtual resources on demand; therefore, the service requests change over time. Dynamic resource provisioning for cloud computing has become a key challenge. To reduce the associated costs, resource utilization must be improved, and ensure the Quality of Service...

Using a Deep Learning Model on Images to Obtain a 2D Laser People Detector for a Mobile Robot

Eugenio Aguirre, Miguel García-Silvente
Pages: 476 - 484
Recent improvements in deep learning techniques applied to images allow the detection of people with a high success rate. However, other types of sensors, such as laser rangefinders, are still useful due to their wide field of vision and their ability to operate in different environments and lighting...

New Product Launching with Pricing, Free Replacement, Rework, and Warranty Policies via Genetic Algorithmic Approach

Vijay Kumar, Biswajit Sarkar, Alok Nath Sharma, Mandeep Mittal
Pages: 519 - 529
New products are appearing in the marketplace at an ever-increasing step. Their launching is either market driven, or technology driven. Pricing and warranty policies play a vital role in launching of a new product, consequently growth of a company. In this paper a decision model is proposed to determine...

An Efficient Modified Particle Swarm Optimization Algorithm for Solving Mixed-Integer Nonlinear Programming Problems

Ying Sun, Yuelin Gao
Pages: 530 - 543
This paper presents an efficient modified particle swarm optimization (EMPSO) algorithm for solving mixed-integer nonlinear programming problems. In the proposed algorithm, a new evolutionary strategies for the discrete variables is introduced, which can solve the problem that the evolutionary strategy...

An IT2-Based Hybrid Decision-Making Model Using Hesitant Fuzzy Linguistic Term Sets for Selecting the Development Plan of Financial Economics

Hasan Dincer, Secil Senel Uzunkaya, Serhat Yüksel
Pages: 460 - 473
The novelty of the study is to propose a hybrid IT2 decision-making approach under the hesitant fuzzy linguistic sets for evaluating the criteria and alternatives. For this purpose, the dimensions and criteria are weighted with interval type-2 fuzzy DEMATEL and the economic development plans are ranked...

Improved TODIM Method Based on Linguistic Neutrosophic Numbers for Multicriteria Group Decision-Making

Peide Liu, Xinli You
Pages: 544 - 556
The TODIM (an acronym in Portuguese for interactive multicriteria decision-making) method can consider the decision-makers’ (DMs’) psychological behavior. However, the classical TODIM method has been unable to address fuzzy information such as the linguistic neutrosophic number (LNN), which is an effective...

Rough Number–Based Three-Way Group Decisions and Application in Influenza Emergency Management

Fan Jia, Peide Liu
Pages: 557 - 570
Group decision-making can effectively deal with complex decision problems in reality and takes important research status in the field of decision-making. In recent years, three-way decision has been a hot topic in the field of uncertain decision-making, so the models of three-way decision under group...

A Hybrid Swarm Intelligence Approach for Blog Success Prediction

Chi-I Hsu, Shelly P. J. Wu, Chaochang Chiu
Pages: 571 - 579
Successful blogs receive high ratings and generate marketing value. What factors contribute to the success of a blog and how to predict its success level are questions worth discussing. A hybrid swam intelligence approach is proposed in this study to predict blog success level. First, this study develops...

Using Multi-Conditional Minimum Thresholds in Temporal Fuzzy Utility Mining

Wei-Ming Huang, Tzung-Pei Hong, Ming-Chao Chiang, Jerry Chun-Wei Lin
Pages: 613 - 626
In the field of fuzzy utility mining, the characteristics of transaction time have been a widely studied topic in data mining. However, using a single-conditional threshold for all items does not suffice to reflect the true properties of items. This paper, therefore, proposes a multi-conditional minimum...

Time-Based Dance Scheduling for Artificial Bee Colony Algorithm and Its Variants

Selcuk Aslan
Pages: 597 - 612
Artificial Bee Colony (ABC) algorithm inspired by the intelligent source search and consumption characteristics of the real honey bees is one of the most powerful optimization techniques. Although the existing behaviours of the honey bees in standard ABC algorithm are capable of producing optimal or...

A Novel Method Based on Fuzzy Tensor Technique for Interval-Valued Intuitionistic Fuzzy Decision-Making with High-Dimension Data

Shengyue Deng, Jianzhou Liu, Jintao Tan, Lixin Zhou
Pages: 580 - 596
To solve the interval-valued intuitionistic fuzzy decision-making problems with high-dimension data, the fuzzy matrix is extended to the fuzzy tensor in this paper. Based on the constructed tensor definition, we propose the generalized interval-valued intuitionistic fuzzy weighted averaging (GIIFWA)...

Measuring Security Durability of Software through Fuzzy-Based Decision-Making Process

Rajeev Kumar, Mohammad Zarour, Mamdouh Alenezi, Alka Agrawal, Raees Ahmad Khan
Pages: 627 - 642
It is critical to develop secure software with long-term performance and capability to withstand and forestall the growing competition in the software development industry. To enhance the potential of Confidentiality, Integrity, and Availability (CIA), a mechanism is required to built in and secure the...

A Novel Algorithm for Generating Pseudo-Random Number

Gangyi Hu, Jin Peng, Weili Kou
Pages: 643 - 648
It proposes a pseudo-random number generation algorithm based on cellular neural networks. This method uses the hyper-chaos characteristics of the cellular neural networks and sets the appropriate parameters to generate the pseudo-random number. The experimental results show that, compared with other...