International Journal of Computational Intelligence Systems

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1410 articles
Research Article

On the Use of Conjunctors With a Neutral Element in the Modus Ponens Inequality

Ana Pradera, Sebastia Massanet, Daniel Ruiz, Joan Torrens
Pages: 201 - 211
The inference rule of Modus Ponens has been extensively investigated in the framework of approximate reasoning, especially for the case of t-norms. Recently, more general kinds of conjunctors have also been considered, like semi-copulas, copulas, and conjunctive uninorms. A common feature of all these...
Research Article

Fuzzy Based Reconfiguration Method Using Intelligent Partial Shadow Detection in PV Arrays*

Mehmet Karakose, Mehmet Baygin, Kagan Murat, Nursena Baygin, Erhan Akin
Pages: 202 - 212
Photovoltaic (PV) systems are the most commonly used methods. PV systems have the most potential and efficiency between the species of renewable energy. However, this method can be subjected to a loss of energy gain when shading occurs on the PV panels. To overcome this negative situation, a reconfiguration...
Research Article

An Extended KTH-Best Apprach for Referential-Uncooperative Bilevel Multi-Follower Decision Making

Guangquan Zhang, Chenggen Shi, Jie Lu
Pages: 205 - 214
Bilevel decision techniques have been mainly developed for solving decentralized management problems with decision makers in a hierarchical organization. When multiple followers are involved in a bilevel decision problem, called a bilevel multi-follower (BLMF) decision problem, the leader’s decision...
Research Article

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...
Research Article

Identifying critical success factors in EDA industry using DEMATEL method

Chia-Chi Sun
Pages: 208 - 218
Electronic design automation (EDA) is a category of software tools for designing electronic systems such as printed circuit boards and integrated circuits. However, the EDA industry has been locked into virtually flat growth for the past several years. Time-to-market pressures and design complexity are...
Research Article

A Novel Partial Transmitting Sequence Technique for Peak-to -Average Power Ratio Reduction in Multicarrier Transmission Systems

Ho-Lung Hung
Pages: 208 - 216
As an attractive technique for the reduction of the peak-to-average power ratio (PAPR) of multi-carrier transmission systems is proposed. The conventional partial transmitting sequence (PTS) combining can improve the PAPR statistics of a multi-carrier transmission systems signal. However, the optimum...
Research Article

IBA-based framework for modeling similarity

Pavle Milošević, Ana Poledica, Aleksandar Rakićević, Vladimir Dobrić, Bratislav Petrović, Dragan Radojević
Pages: 206 - 218
In this paper, we introduce a logic-driven framework for modeling similarity based on interpolative Boolean algebra (IBA). It consists of two main steps: data preprocessing and similarity measuring by means of IBA similarity measure and logical aggregation. The purpose of these steps is to detect dependencies...
Editorial

Special Issue on Evolutionary Fuzzy Systems

Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi, Francisco Herrera
Pages: 209 - 211
Research Article

Progressive CFM-Miner: An Algorithm to Mine CFM – Sequential Patterns from a Progressive Database

Bhawna Mallick, Deepak Garg, P. S. Grover
Pages: 209 - 222
Sequential pattern mining is a vital data mining task to discover the frequently occurring patterns in sequence databases. As databases develop, the problem of maintaining sequential patterns over an extensively long period of time turn into essential, since a large number of new records may be added...
Research Article

A Novel Probability Weighting Function Model with Empirical Studies

Sheng Wu, Hong-Wei Huang, Yan-Lai Li, Haodong Chen, Yong Pan
Pages: 208 - 227
Probability weighting is one of the key components of the modern risky decision-making theories, an effective probability weight function can more accurately describe the decision-makers' subjective response to the event probability. While the probability weighting functions (PWFs) with several...
Research Article

An Efficient Inductive Genetic Learning Algorithm for Fuzzy Relational Rules

Antonio González, Raúl Pérez, Yoel Caises, Enrique Leyva
Pages: 212 - 230
Fuzzy modelling research has traditionally focused on certain types of fuzzy rules. However, the use of alternative rule models could improve the ability of fuzzy systems to represent a specific problem. In this proposal, an extended fuzzy rule model, that can include relations between variables in the...
Research Article

Curve-Fitting on Graphics Processors Using Particle Swarm Optimization

R.T. Kneusel
Pages: 213 - 224
Curve fitting is a fundamental task in many research fields. In this paper we present results demonstrating the fitting of 2D images using CUDA (compute unified device architecture) on NVIDIA graphics processors via particle swarm optimization (PSO). Particle swarm optimization is particularly well-suited...
Research Article

Incremental update of rough set approximation under the grade indiscernibility relation

Junfang Luo, Yaya Liu, Keyun Qin, Heng Ding
Pages: 212 - 233
The incremental updating of lower and upper approximations under the variation of information systems is an important issue in rough set theory. Many incremental updating approaches with respect to different kinds of indiscernibility relations have been proposed. The grade indiscernibility relation is...
Research Article

Sparse Least Squares Support Vector Machine With Adaptive Kernel Parameters

Chaoyu Yang, Jie Yang, Jun Ma
Pages: 212 - 222
In this paper, we propose an efficient Least Squares Support Vector Machine (LS-SVM) training algorithm, which incorporates sparse representation and dictionary learning. First, we formalize the LS-SVM training as a sparse representation process. Second, kernel parameters are adjusted by optimizing their...
Research Article

Attack Pattern Analysis Framework for a Multiagent Intrusion Detection System

Krzysztof Juszczyszyn, Grzegorz Kolaczek
Pages: 215 - 224
The paper proposes the use of attack pattern ontology and formal framework for network traffic anomalies detection within a distributed multi-agent Intrusion Detection System architecture. Our framework assumes ontology-based attack definition and distributed processing scheme with exchange of communicates...
Research Article

Interval-valued Fuzzy Sets in Soft Computing

Humberto Bustince
Pages: 215 - 222
In this work, we explain the reasons for which, for some speci c problems, interval-valued fuzzy sets must be considered a basic component of Soft Computing.
Research Article

Selecting Multiple Evaluator’s Perception-Oriented Relevant Physical Features of Consumer Goods by Using Fuzzy Data Sensitivity and OWA Operators

I. Feki, X. Zeng, A. Ghith, L. Koehl, F. Msahli, F. Sakli
Pages: 213 - 226
The assessment of goods quality using experts is costly task in addition to their often unavailability. In this paper, we present a new method for ranking physical features of consumer goods according to their relevancy to multiple evaluators’ perception at different levels and selecting the most important...
Research Article

Fuzzy Multi-Criteria Selection of Science Parks for Start-up Companies

Alp Ustundag, Mehmet Serdar Kilinc
Pages: 217 - 227
Science parks are crucial for an innovative economic setting since they act as 'development catalysts' driving the startup of newly established high-tech firms. The selection of the appropriate science park becomes a major decision for start-up entrepreneurs since it is a multi-criterion decision problem...
Research Article

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...
Research Article

Parameter Identification of A Four-dimensional Chaotic System Using Real-valued Immune Algorithms

Wei-Der Chang
Pages: 219 - 225
This paper presents a new immune algorithm to solve the parameters identification problem of the four-dimensional chaotic system. The proposed algorithm is directly to utilize the real-value operation to fulfill the numerical optimization, which is quite different from the traditional immune algorithm...
Research Article

An Alternative Ranking Approach and Its Usage in Multi-Criteria Decision-Making

Cengiz Kahraman, A. Cagri Tolga
Pages: 219 - 235
In the process of fuzzy decision-making, ranking of fuzzy numbers is a necessity. The types of fuzzy numbers are triangular, trapezoidal, and L-R type. In the literature, there are many methods developed for ranking fuzzy numbers. These methods may produce different ranking results. Many of these methods...
Research Article

Criticality-cognizant Clustering-based Task Scheduling on Multicore Processors in the Avionics Domain

K. Nagalakshmi, N. Gomathi
Pages: 219 - 237
Scheduling of mixed-criticality systems (MCS) on a common computational platform is challenging because conventional scheduling approaches may cause inefficient utilization of shared computing resources. In this paper, we propose an approach called Clustering-based Partitioned Earliest Deadline First...
Research Article

REPAIR SHOP JOB SCHEDULING WITH PARALLEL OPERATORS AND MULTIPLE CONSTRAINTS USING SIMULATED ANNEALING

N. Shivasankaran, P. Senthil Kumar, G. Nallakumarasamy, K. Venkatesh Raja
Pages: 223 - 233
Scheduling problems are generally treated as NP – complete combinatorial optimization problems which is a multi-objective and multi constraint one. Repair shop Job sequencing and operator allocation is one such NP – complete problem. For such problems, an efficient technique is required that...
Research Article

Computational intelligence and soft computing: some thoughts on already explored and not yet explored paths

Janusz Kacprzyk
Pages: 223 - 236
We comment upon the very essence, roots, potentials, and applicability of computational intelligence and soft computing. We followed a different path than those traditionally employed, and which are so well and in a deep and comprehensive way documented in other papers in this special issue. First, we...
Research Article

An Approach for Evolving Transformation Sequences Using Hybrid Genetic Algorithms

Ahmed Maghawry, Mohamed Kholief, Yasser Omar, Rania Hodhod
Pages: 223 - 233
The digital transformation revolution has been crawling toward almost all aspects of our lives. One form of the digital transformation revolution appears in the transformation of our routine everyday tasks into computer executable programs in the form of web, desktop and mobile applications. The vast...
Research Article

Ensemble of Kernel Regression Models for Assessing the Health State of Choke Valves in Offshore Oil Platforms

Piero Baraldi, Enrico Zio, Francesca Mangili, Giulio Gola, Bent H. Nystad
Pages: 225 - 241
This paper considers the problem of erosion in choke valves used on offshore oil platforms. A parameter commonly used to assess the valve erosion state is the flow coefficient, which can be analytically calculated as a function of both measured and allocated parameters. Since the allocated parameter...
Research Article

A Knowledge Based Recommender System with Multigranular Linguistic Information

Luis Martinez, Manuel J. Barranco, Luis G. Perez, Macarena Espinilla
Pages: 225 - 236
Recommender systems are applications that have emerged in the e-commerce area in order to assist users in their searches in electronic shops. These shops usually offer a wide range of items that cover the necessities of a great variety of users. Nevertheless, searching in such a wide range of items could...
Research Article

A note on operations of hesitant fuzzy sets

Zheng Pei, Liangzhong Yi
Pages: 226 - 239
In this paper, properties of operations and algebraic structures of hesitant fuzzy sets are investigated. Semilattices of hesitant fuzzy sets with union and intersection are discussed, respectively. By using ⊕ and ⊗ operators, the commutative monoid of hesitant fuzzy sets is provided, moreover,...
Research Article

Application of Fuzzy Multi-Objective Linear Programming Model in a Multi-Period Multi-Product Production Planning Problem

Kaveh Taghizadeh, Morteza Bagherpour, Iraj Mahdavi
Pages: 228 - 243
The Multi-Period Multi-Product (MPMP) production planning, as a well known problem in literature, attempts to match production rates of individual products with fluctuated market demand over planning horizon. This study, demonstrates how the conventional MPMP Linear Programming (LP) model may fail to...
Research Article

Stochastic Capacity Acquisition and Allocation Model for Bandwidth Brokers under Fuzzy Volume Based Pricing Scheme

Hasan Hüseyin Turan, Nihat Kasap, Dursun Delen, Mehmet Nahit Serarslan
Pages: 227 - 244
In this paper, bandwidth acquisition and allocation problem of a telecommunications Bandwidth Broker (BB) is analyzed under uncertain end-user capacity requests and pay-per-byte (volume) based pricing policy. Furthermore, related objective function coefficients such as revenue and costs are modeled as...
Research Article

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...
Research Article

Parallel DNA Algorithms of Generalized Traveling Salesman Problem-Based Bioinspired Computing Model

Xiaomin Ren, Xiaoming Wang, Zhaocai Wang, Tunhua Wu
Pages: 228 - 237
Generalized traveling salesman problem (GTSP) is a classical combinatorial optimization problem, in which the optimization goal is the minimum route combination. Since the GTSP is a more complex problem than the traveling salesman problem (TSP), the GTSP can be considered an extension of the TSP. At...
Research Article

A Study on the Use of Multiobjective Genetic Algorithms for Classifier Selection in FURIA-based Fuzzy Multiclassifiers

Krzysztof TrawiÅ„ski, Oscar Cordón, Arnaud Quirin
Pages: 231 - 253
In a preceding contribution, we conducted a study considering a fuzzy multiclassifier system (MCS) design framework based on Fuzzy Unordered Rule Induction Algorithm (FURIA). It served as the fuzzy rule classification learning algorithm to derive the component classifiers considering bagging and feature...
Research Article

Crowd Behavior Recognition Using Hybrid Tracking Model and Genetic algorithm Enabled Neural Network

Manoj Kumar, Charul Bhatnagar
Pages: 234 - 246
In the current era, crowd behavior analysis is important topic due to the significance of video surveillance in the public area. Literature presents a handful of works for crowd behavior detection and analysis. Even though, the complicated challenges such as, low quality video, wide variation in the...
Research Article

Using Pattern Position Distribution for Software Failure Detection

Chunping Li, Ziniu Chen, Hao Du, Hui Wang, George Wilkie, JuanC. Augusto, Jun Liu
Pages: 234 - 243
We present a novel approach for using the pattern position distribution as features to detect software failure. In this approach, we divide an execution sequence into several sections and compute the pattern distribution in each section. The distribution of all patterns is then used as features to train...
Research Article

A New Artificial Immune System Algorithm for Multiobjective Fuzzy Flow Shop Problems

Cengiz Kahraman, Orhan Engin, Mustafa Kerim Yilmaz
Pages: 236 - 247
In this paper a new artificial immune system (AIS) algorithm is proposed to solve multi objective fuzzy flow shop scheduling problems. A new mutation operator is also described for this AIS. Fuzzy sets are used to model processing times and due dates. The objectives are to minimize the average tardiness...
Research Article

Using Market Sentiment Analysis and Genetic Algorithm-Based Least Squares Support Vector Regression to Predict Gold Prices

Fong-Ching Yuan, Chao-Hui Lee, Chaochang Chiu
Pages: 234 - 246
Gold price prediction has long been a crucial and challenging research topic for gold investors. In conventional models, most scholars have used the historical gold price or economic indicators to forecast gold prices. The gold prices depend mainly on confidence in the current market. To reduce the time...
Research Article

Situation Assessment in Disaster Management

Juan Carlos Augusto, Hui Wang, Jun Liu
Pages: 237 - 247
We present a framework for decision-making in relation to disaster management with a focus on situation assessment during disaster management monitoring. The use of causality reasoning based on the temporal evolution of a scenario provides a natural way to chain meaningful events and possible states...
Research Article

Soft Computing: A Continuously Evolving Concept

Piero P. Bonissone
Pages: 237 - 248
Soft Computing (SC) is a concept with constantly evolving semantics, as researchers have adopted its main philosophy while adding various interpretations and facets to this concept. Originally defined as a loose association or partnership of components, SC has gone through several transformational phases....
Research Article

Doubt Atanassov's intuitionistic fuzzy Sub-implicative ideals in -algebras

Tripti Bej, Madhumangal Pal
Pages: 240 - 249
The notions of doubt Atanassov's intuitionistic fuzzy sub-implicative ideals and doubt Atanassov's intuitionistic fuzzy -ideals of -algebras are introduced. We show that an Atanassov's intuitionistic fuzzy subset of -algebras is an Atanassov's intuitionistic fuzzy sub-implicative ideal if and only if...
Research Article

Thumb-tip Force Prediction Based on Hill’s Muscle Model using Electromyogram and Ultrasound Signal

Shahrul Naim Sidek, Muhammad Rozaidi Roslan, Sabrilhakim Sidek, Mohd Shukry Mohd Khalid
Pages: 238 - 247
The use of prostheses is necessary to restore lost limbs to a level of functionality to enable activity of daily living. Many prostheses are now using myoelectric based control techniques to operate. However, to develop a model based controller for the system remains a challenge as accurate model is...
Research Article

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....
Research Article

A Simulation Method of Specific Fish-Eye Imaging System Based on Image Postprocessing

Wenhui Li, You Qu, Ying Wang, Jialun Liu
Pages: 238 - 247
In order to enable the implementation of the computer vision-based perception techniques in the physical-based simulation environment, visual sensors need to be simulated physically. Among others, fish-eye cameras are commonly used visual sensors to provide an omni-directional field of view. The existing...
Research Article

A Content Based Video Retrieval Analysis System with Extensive Features by Using Kullback-Leibler

R. Priya, T.N. Shanmugam, R. Baskaran
Pages: 242 - 263
Content-based video retrieval systems have shown great potential in supporting decision making in clinical activities, teaching, and biological research. In content-based video retrieval, feature combination plays a key role. As a result content-based retrieval of all different type video data turns...
Research Article

Gantry Crane Scheduling with Interference Constraints in Railway Container Terminals

Peng Guo, Wenming Cheng, Zeqiang Zhang, Min Zhang, Jian Liang
Pages: 244 - 260
Railway container terminals, where gantry cranes are responsible for loading and unloading containers between freight trains and yards, are important hubs of hinterland logistics transportation. Terminal managers confront the challenge in improving the efficiency of their service. As the most expensive...
Research Article

An Edge-Based Macao License Plate Recognition System

Chi-Man Pun, Wai-Yiu Ho
Pages: 244 - 254
This paper presents a system to recognize Macao license plates. Sobel edge detector is employed to extract the vertical edges, and an edge composition algorithm is proposed to combine the edges into candidate plate regions. They are further examined on the existence of the character "M" by a verification...
Research Article

Fusion of heterogeneous incomplete hesitant preference relations in group decision making

Zhen Zhang, Chonghui Guo
Pages: 245 - 262
In this paper, we focus on the fusion of heterogeneous incomplete hesitant preference relations (including hesitant fuzzy preference relations and hesitant multiplicative preference relations) under group decision making settings. First, some simple formulae are developed to derive a priority weight...
Research Article

Using Parametric Functions to Solve Systems of Linear Fuzzy Equations with a Symmetric Matrix

Annelies Vroman, Glad Deschrijver, Etienne E. Kerre
Pages: 248 - 261
A method to solve linear fuzzy equations with a symmetric matrix is proposed. Ignoring the symmetry leads to an overestimation of the solution. Our method to find the solution of a system of linear fuzzy equations takes the symmetry of the matrix into account and is based on parametric functions. It...
Research Article

A Hybrid Artificial Immune Optimization Method

X. Wang, X.Z. Gao, S. J. Ovaska
Pages: 248 - 255
This paper proposes a hybrid optimization method based on the fusion of the Simulated Annealing (SA) and Clonal Selection Algorithm (CSA), in which the SA is embedded in the CSA to enhance its search capability. The novel optimization algorithm is also employed to deal with several nonlinear benchmark...
Research Article

Lessons Learned from Soft Computing Applications at SCK-CEN

Da Ruan
Pages: 249 - 255
By answering "what is soft computing?" we briefly examine four research projects of soft computing applications at the Belgian Nuclear Research Centre (SCK-CEN) from the practical point of view. We draw lessons learned from the examined projects including reactor control, cost estimation, energy policy,...
Research Article

Diabetes Classification using Radial Basis Function Network by Combining Cluster Validity Index and BAT Optimization with Novel Fitness Function

Ramalingaswamy Cheruku, Damodar Reddy Edla, Venkatanareshbabu Kuppili
Pages: 247 - 265
Diabetes is one of the foremost causes for the increase in mortality among children and adults in recent years. Classification systems are being used by doctors to analyse and diagnose the medical data. Radial basis function neural networks are more attractive for classification of diseases, especially...
Research Article

Feature Selection Based on a Novel Improved Tree Growth Algorithm

Changkang Zhong, Yu Chen, Jian Peng
Pages: 247 - 258
Feature selection plays a significant role in the field of data mining and machine learning to reduce the data dimension, speed up the model building process and improve algorithm performance. Tree growth algorithm (TGA) is a recent proposed population-based metaheuristic, which shows great power of...
Research Article

Pure linguistic PROMETHEE I and II methods for heterogeneous MCGDM problems

M. Espinilla, N. Halouani, H. Chabchoub
Pages: 250 - 264
The PROMETHEE methods basic principle is focused on a pairwise comparison of alternatives for each criterion, selecting a preference function type that often requires parameters in order to obtain a preference value. When a MCGDM problem is defined in an heterogeneous context, an adequate and common...
Research Article

Integrating Replenishment Policy with GSAA-FCM Based Multi-Criteria Inventory Classification

Qi Zhang, Qiuhong Zhao, Yashuai Li
Pages: 248 - 255
It is neither practical nor economic to assign a specific inventory policy for each item if there are thousands of items in one firm. This paper seeks to solve the stock problem from an integrated perspective by taking into account of both classification of items and replenishment policies for each group....
Research Article

Quantum Clustering Ensemble

Peizhou Tian, Shuang Jia, Ping Deng, Hongjun Wang
Pages: 248 - 256
Clustering ensemble combines several base clustering results into a definitive clustering solution which has better robustness, accuracy, and stability, and it can also be used in knowledge reuse, distributed computing, and privacy preservation. In this paper, we propose a novel quantum clustering ensemble...
Research Article

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...
Research Article

Reducing the Complexity of Genetic Fuzzy Classifiers in Highly-Dimensional Classification Problems

DimitrisG. Stavrakoudis, GeorgiaN. Galidaki, IoannisZ. Gitas, JohnB. Theocharis
Pages: 254 - 275
This paper introduces the Fast Iterative Rule-based Linguistic Classifier (FaIRLiC), a Genetic Fuzzy Rule-Based Classification System (GFRBCS) which targets at reducing the structural complexity of the resulting rule base, as well as its learning algorithm's computational requirements, especially when...
Research Article

Tabu Search and an Exact Algorithm for the Solutions of Resource-constrained Project Scheduling Problems

Omer Atli
Pages: 255 - 267
When the project is scheduled with a given set of resources, it is difficult to find the optimal solution. Resourceconstrained scheduling problems (RCPSP) are generally NP-hard. In this paper, a high level heuristic procedure “Tabu Search Algorithm (TSA)” is proposed to provide good solutions to...
Research Article

BMR: Benchmarking Metrics Recommender for Personnel issues in Software Development Projects

Angel Garcia-Crespo, Ricardo Colomo-Palacios, Juan Miguel Gomez-Berbis, Myriam Mencke
Pages: 256 - 266
This paper presents an architecture which applies document similarity measures to the documentation produced during the phases of software development in order to generate recommendations of process and people metrics for similar projects. The application makes a judgment of similarity of the Service...
Research Article

Improving the Reliability of Case-Based Reasoning Systems

Xu Xu, Ke Wang, Weimin Ma, Jie Lin
Pages: 256 - 265
Case-based reasoning (CBR) infers a solution to a new problem by searching a collection of previously solved problems for cases which are similar to the new problem. The collection of previous problems and their associated solutions represents the CBR system’s realm of expertise. A CBR system helps...
Research Article

A Novel MAGDM Approach With Proportional Hesitant Fuzzy Sets

Sheng-Hua Xiong, Zhen-Song Chen, Kwai-Sang Chin
Pages: 256 - 271
In this paper, we propose an extension of hesitant fuzzy sets, i.e., proportional hesitant fuzzy sets (PHFSs), with the purpose of accommodating proportional hesitant fuzzy environments. The components of PHFSs, which are referred to as proportional hesitant fuzzy elements (PHFEs), contain two aspects...
Research Article

Feature-Weighting and Clustering Random Forest

Zhenyu Liu, Tao Wen, Wei Sun, Qilong Zhang
Pages: 257 - 265
Classical random forest (RF) is suitable for the classification and regression tasks of high-dimensional data. However, the performance of RF may be not satisfied in case of few features, because univariate split method cannot bring more diverse individuals. In this paper, a novel method of node split...
Research Article

A Discrete Constrained Optimization Using Genetic Algorithms for A Bookstore Layout

Tuncay Ozcan, Sakir Esnaf
Pages: 261 - 278
In retail industry, one of the most important decisions of shelf space management is the shelf location decision for products and product categories to be displayed in-store. The shelf location that products are displayed has a significant impact on product sales. At the same time, displaying complementary...
Research Article

Linguistic Modeling and Synthesis of Heterogeneous Energy Consumption Time Series Sets

Sergio Martínez-Municio, Luis Rodríguez-Benítez, Ester Castillo-Herrera, Juan Giralt-Muiña, Luis Jiménez-Linares
Pages: 259 - 272
Thanks to the presence of sensors and the boom in technologies typical of the Internet of things, we can now monitor and record the energy consumption of buildings over time. By effectively analyzing these data to capture consumption patterns, significant reductions in consumption can be achieved and...
Research Article

Optimal Core Operation in Supply Chain Finance Ecosystem by Integrating the Fuzzy Algorithm and Hierarchical Framework

Chun-Yueh Lin
Pages: 259 - 274
Supply chain finance (SCF), which has the key concept of the delivery of credit, is a new type of financial service that can enhance the financial efficiency of a supply chain. Using the transaction records from the core operations (CO) of the members, financers can provide a higher level of cash flow...
Research Article

Building an Associative Classifier Based on Fuzzy Association Rules

Zuoliang Chen, Guoqing Chen
Pages: 262 - 272
Classification based on association rules is considered to be effective and advantageous in many cases. However, there is a so-called "sharp boundary" problem in association rules mining with quantitative attribute domains. This paper aims at proposing an associative classification approach, namely Classification...
Research Article

The fuzzy mapping aggregation operator based on rimer and its application

Xiaoping Qiu, Ming Jian, Jun Liu, Yi Wang, Yang Xu
Pages: 264 - 271
A fuzzy mapping aggregation operator based on RIMER and its application in Chinese word semantic proofing system for special domain are discussed deeply in this paper. Firstly, the fuzzy mapping aggregation operator based on RIMER are introduced and followed by the corresponding fuzzy inference method....
Research Article

NN-SANARX model based control of a multi tank liquid-level system

Juri Belikov, Eduard Petlenkov
Pages: 265 - 277
This paper is devoted to application of neural network with a specific restricted connectivity structure for identification and control of a real process. Parameters of the identified model are used to design a controller based on dynamic feedback linearization. The designed neural network based controller...
Research Article

An algorithm evaluation for discovering classification rules with gene expression programming

Alain Guerrero-Enamorado, Carlos Morell, Amin Y. Noaman, Sebastián Ventura
Pages: 263 - 280
In recent years, evolutionary algorithms have been used for classification tasks. However, only a limited number of comparisons exist between classification genetic rule-based systems and gene expression programming rule-based systems. In this paper, a new algorithm for classification using gene expression...
Research Article

Design and Implementation of a Speller based on EMG Signal

P M Shyam Prasad, Radhika Swarnkar, Mohammad Farukh Hashmi, Avinash G. Keskar
Pages: 266 - 276
A speller is a communication device designed for those suffering from neuromuscular disorders having difficulty to speak. An EMG based design is proposed which uses eye blinks for character selection that offers high accuracy and more comfort to the user. The eye blink signals are feature extracted using...
Research Article

Reliability Growth Predication based on an Improved Grey Predicton Model

Yuhong Wang, Yaoguo Dang, Sifeng Liu
Pages: 266 - 273
As limits of time, labors and expenses, observed data usually have the characteristic of small sample sizes in development test program. Redesigns or corrective actions can result in changes of reliability for equipments. We propose an improved GM(1,1) model to predict reliability growth in this paper....
Research Article

Neural Networks Simulation of the Transport of Contaminants in Groundwater

Enrico Zio
Pages: 267 - 276
The performance assessment of an engineered solution for the disposal of radioactive wastes is based on mathematical models of the disposal system response to predefined accidental scenarios, within a probabilistic approach to account for the involved uncertainties. As the most significant potential...
Research Article

Banknote Image Retrieval Using Rotated QuaternionWavelet Filters

Shan Gai, Jiafeng Liu, Xianglong Tang
Pages: 268 - 276
A new method of banknote image retrieval is proposed by using new set of rotated quaternion wavelet filters (RQWF) and standard quaternion wavelet transform (QWT) jointly. The robust and rotationally invariant features are extracted from QWT and RQWF decomposed sub-bands of banknote image. Three different...
Research Article

User Community Detection From Web Server Log Using Between User Similarity Metric

M. S. Bhuvaneswari, K. Muneeswaran
Pages: 266 - 281
Identifying users with similar interest plays a vital role in building the recommendation model. Web server log acts as a repository from which the information needed for identifying the users and sessions (pagesets) are extracted. Sparse ID list and Vertical ID list are used for identifying the closed...
Research Article

Ensemble ANNs-PSO-GA Approach for Day-ahead Stock E-exchange Prices Forecasting

Yi Xiao, Jin Xiao, Fengbin Lu, Shouyang Wang
Pages: 272 - 290
Stock e-exchange prices forecasting is an important financial problem that is receiving increasing attention. This study proposes a novel three-stage nonlinear ensemble model. In the proposed model, three different types of neural-network based models, i.e. Elman network, generalized regression neural...
Research Article

A Linguistic-Valued Weighted Aggregation Operator to Multiple Attribute Group Decision Making with Quantative and Qualitative Information

Xiaobing Li, Da Ruan, Jun Liu, Yang Xu
Pages: 274 - 284
In selecting an optional alternative in an environment of multiple attribute group decision making, different attributes of the alternative are often considered as with quantitative and qualitative information. Consequently, decision making problems may include preference information in different formats....
Research Article

Improved Fuzzy Art Method for Initializing K-means

Sevinc Ilhan, Nevcihan Duru, Esref Adali
Pages: 274 - 279
The K-means algorithm is quite sensitive to the cluster centers selected initially and can perform different clusterings depending on these initialization conditions. Within the scope of this study, a new method based on the Fuzzy ART algorithm which is called Improved Fuzzy ART (IFART) is used in the...
Research Article

An architecture based on computing with words to support runtime reconfiguration decision of service-based systems

Romina Torres, Rodrigo Salas, Nelly Bencomo, Hernan Astudillo
Pages: 272 - 281
Service-based systems (SBSs) need to be reconfigured when there is evidence that the selected Web services configurations no further satisfy the specifications models and, thus the decision-related models will need to be updated accordingly. However, such updates need to be performed at the right pace....
Research Article

Detection of Land in Marine Images

Tomasz Praczyk
Pages: 273 - 281
In order to navigate safely at sea, contemporary marine vehicles, both surface and underwater, are equipped with a variety of different sensors. One of these sensors is typically a video camera, a device that is becoming increasingly popular on the decks of both ships and smaller marine vehicles. A compact...
Research Article

Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers

AnaM. Palacios, Luciano Sánchez, Inés Couso
Pages: 276 - 296
Determining whether an imprecise dataset is imbalanced is not immediate. The vagueness in the data causes that the prior probabilities of the classes are not precisely known, and therefore the degree of imbalance can also be uncertain. In this paper we propose suitable extensions of different resampling...
Research Article

A Hybrid Model for Forecasting Sales in Turkish Paint Industry

Alp Ustundag
Pages: 277 - 287
Sales forecasting is important for facilitating effective and efficient allocation of scarce resources. However, how to best model and forecast sales has been a long-standing issue. There is no best forecasting method that is applicable in all circumstances. Therefore, confidence in the accuracy of sales...
Research Article

Real-Time Hand Gesture Recognition using Motion Tracking

Chi-Man Pun, Hong-Min Zhu, Wei Feng
Pages: 277 - 286
This paper proposes a real-time recognition system for hand gestures, which serves as an alternative of human computer interface. We focus on hand gestures performed by hand motions, and 10 hand signed digits are recognized. Gesturing hand in each video frame is firstly extracted by skin-subtraction...
Case Study

Information Retrieval Based on Knowledge-Enhanced Word Embedding Through Dialog: A Case Study

Jin Ren, Hengsheng Wang, Tong Liu
Pages: 275 - 290
The aim of this paper is to provide a systematic route of information retrieval from a knowledge-based database (or domain knowledge) through a dialog system of natural language interaction. The application is about a comprehensive building at a university, with classrooms, laboratory rooms, meeting...
Research Article

Roughness of fuzzy soft sets and related results

Zhaowen Li, Tusheng Xie
Pages: 278 - 296
This paper investigates roughness of fuzzy soft sets. A pair of fuzzy soft rough approximations is proposed and their properties are given. Based on fuzzy soft rough approximations, the concept of fuzzy soft rough sets is introduced. New types of fuzzy soft sets such as full, intersection complete and...
Research Article

Developing a Smart Clothing System for Blinds Based on Information Axiom

Senem Kursun Bahadir, Selcuk Cebi, Cengiz Kahraman, Fatma Kalaoglu
Pages: 279 - 292
In this paper, a novel approach is proposed to determine the electronic system components of a smart clothing system design developed for blinds. The integration of diverse components which are developed and produced by different technologies and materials is a major challenge in a smart clothing system...
Research Article

Multigranulation rough set: A multiset based strategy

Xibei Yang, Suping Xu, Huili Dou, Xiaoning Song, Hualong Yu, Jingyu Yang
Pages: 277 - 292
A simple multigranulation rough set approach is to approximate the target through a family of binary relations. Optimistic and pessimistic multigranulation rough sets are two typical examples of such approach. However, these two multigranulation rough sets do not take frequencies of occurrences of containments...
Research Article

A Lexicographic Method for Matrix Games with Payoffs of Triangular Intuitionistic Fuzzy Numbers

Jiang-Xia Nan, Deng-Feng Li, Mao-Jun Zhang
Pages: 280 - 289
The intuitionistic fuzzy set (IF-set) has not been applied to matrix game problems yet since it was introduced by K.T.Atanassov. The aim of this paper is to develop a methodology for solving matrix games with payoffs of triangular intuitionistic fuzzy numbers (TIFNs). Firstly the concept of TIFNs and...
Research Article

Control of a chain pendulum: A fuzzy logic approach

Ernesto Aranda-Escolástico, María Guinaldo, Matilde Santos, Sebastián Dormido
Pages: 281 - 295
In this paper we present a real application of computational intelligence. Fuzzy control of a non-linear rotary chain pendulum is proposed and implemented on real prototypes. The final aim is to obtain a larger region of attraction for the stabilization of this complex system, that is, a more robust...
Research Article

A locally weighted learning method based on a data gravitation model for multi-target regression

Oscar Reyes, Alberto Cano, Habib M. Fardoun, Sebastián Ventura
Pages: 282 - 295
Locally weighted regression allows to adjust the regression models to nearby data of a query example. In this paper, a locally weighted regression method for the multi-target regression problem is proposed. A novel way of weighting data based on a data gravitation-based approach is presented. The process...
Research Article

An Empirical Study for Enhanced Software Defect Prediction Using a Learning-Based Framework

Kamal Bashir, Tianrui Li, Chubato Wondaferaw Yohannese
Pages: 282 - 298
The object of software defect prediction (SDP) is to identify defect-prone modules. This is achieved through constructing prediction models using datasets obtained by mining software historical depositories. However, data mined from these depositories are often associated with high dimensionality, class...
Research Article

Differential Calculus of Fermatean Fuzzy Functions: Continuities, Derivatives, and Differentials

Zaoli Yang, Harish Garg, Xin Li
Pages: 282 - 294
Fermatean fuzzy sets are an effective way to handle uncertainty and vagueness by expanding the spatial scope of membership and nonmembership of the intuitionistic fuzzy set and the Pythagorean fuzzy set. However, existing studies only analyzed the discrete information and neglected the continuous state...
Research Article

Clustering feature vectors with mixed numerical and categorical attributes

R.K. Brouwer
Pages: 285 - 298
This paper describes a method for finding a fuzzy membership matrix in case of numerical and categorical features. The set of feature vectors with mixed features is mapped to a set of feature vectors with only real valued components with the condition that the new set of vectors has the same proximity...
Review Article

Traffic Safety through Driver Assistance and Intelligence

Heiner Bubb
Pages: 287 - 296
Future mobility has to keep the safety level that is already achieved and shall even improve it. This paper reviews the research about driver behavior and assesses how far the work has proceeded in the field of assistance and intelligence, which includes: the vehicle's longitudinal and transversal dynamics,...
Research Article

Multiple Criteria Human Performance Evaluation Using Choquet Integral

Tuncay Gürbüz
Pages: 290 - 300
It is a critical issue for the continuity of an organization to efficiently evaluate the performance of its employees. The evaluation process has to guarantee a sufficient level of objectivity and a limited level of subjectivity in order to answer the employees' expectancies. In this study, a multi-criteria...
Research Article

An Approach to Multiple Attribute Group Decision Making Based on Intuitionistic Trapezoidal Fuzzy Power Generalized Aggregation Operator

Peide Liu, Ying Liu
Pages: 291 - 304
With respect to multiple attribute decision making (MADM) problems in which the attribute value takes the form of intuitionistic trapezoidal fuzzy number, a new decision making analysis method is developed. Firstly, some operational laws and expected values of intuitionistic trapezoidal fuzzy numbers,...
Research Article

A Decision Making Model for the Evaluation of Supply Chain Execution and Management Systems

Sinan Apak, Özalp Vayvay, Orhan Feyzioğlu
Pages: 293 - 306
A Supply Chain Execution and Management (SCEM) system is an enterprise application that integrates all of the necessary supply chain functions into a single system. These functions range from common ones such as warehouse and transportation management to less known ones such as demand management. In...
Research Article

Multi-Objective Particle Swarm Optimization Algorithm for the Minimum Constraint Removal Problem

Bo Xu, Feng Zhou, Antonio Marcel Gates
Pages: 291 - 299
This paper proposes a multi-objective approach for the minimum constraint removal (MCR) A problem. First, a multi-objective model for MCR path planning is constructed. This model takes into account factors such as the minimum constraint set, the route length, and the cost. A multi-objective particle...
Case Study

A new enhanced support vector model based on general variable neighborhood search algorithm for supplier performance evaluation: A case study

Behnam Vahdani, S. Meysam Mousavi, R. Tavakkoli-Moghaddam, H. Hashemi
Pages: 293 - 311
In sustainable supply chain networks, companies are obligated to have a systematic decision support system in place to help it adopt right decisions at right times. Among strategic decisions, supplier selection and evaluation outranks other decisions in terms of importance due to its long-term impacts....
Research Article

A Mechanism to Improve the Interpretability of Linguistic Fuzzy Systems with Adaptive Defuzzification based on the use of a Multi-objective Evolutionary Algorithm

Antonio A. Márquez, Francisco A. Márquez, Antonio Peregrín
Pages: 297 - 321
This paper proposes a mechanism that helps improve the interpretability of linguistic fuzzy ruled based systems with common adaptive defuzzification methods. Adaptive defuzzification significantly improves the system accuracy, but introduces weights associated with each rule of the rule base, decreasing...