International Journal of Computational Intelligence Systems

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1063 articles

Experiences and Reflections on Text Summarization Tools

Shuha Liu
Pages: 202 - 218
Text summarization is a process of distilling the most important content from text documents. While human beings have proven to be extremely capable summarizers, computer based automatic abstracting and summarizing has proven to be extremely challenging tasks. In this paper we report our experience with...

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...

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...

Anisotropic Wavelet-Based Image Nearness Measure

James F. Peters, Leszek Puzio
Pages: 168 - 183
The problem considered in this article is how to solve the image correspondence problem in cases where it is important to measure changes in the contour, position, and spatial orientation of bounded regions. This article introduces a computational intelligence approach to the solution of this problem...

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...

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...

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...

An Evolutionary Approach to Underwater Sensor Deployment

Erik F. Golen, Bo Yuan, Nirmala Shenoy
Pages: 184 - 201
Underwater sensor deployment for military surveillance is a significant challenge due to the inherent difficulties posed by the underwater channel in terms of sensing and communications between sensors, as well as the exorbitant cost of the sensors. As a result, these sensors must be deployed as efficiently...

On Knowledge Granulation and Applications to Classifier Induction in the Framework of Rough Mereology

Lech Polkowski, Piotr Artiemjew
Pages: 315 - 331
Knowledge granulation as proposed by Zadeh consists in making objects under discussion into classes called granules; objects within a granule are similar one to another to a satisfactory degree relative to a chosen similarity measure. Rough mereology as developed by Polkowski in a series of works is...

Combining Resting-state fMRI and DTI Analysis for Early-onset Schizophrenia

Ming Ke, Hui Shen, Jintu Fan, Xing Huang, Zongtan Zhou, Xiaogang Chen, Dewen Hu
Pages: 375 - 385
We combined measures of resting-state functional magnetic resonance imaging and diffusion tensor imaging (DTI) to investigate alterations of function-structure relationships in patients with early-onset schizophrenia. DTI analysis revealed reduced fractional anisotropy in right frontal white matter....

N-grams based feature selection and text representation for Chinese Text Classification

Zhihua Wei, Duoqian Miao, Jean-Hugues Chauchat, Rui Zhao, Wen Li
Pages: 365 - 374
In this paper, text representation and feature selection strategies for Chinese text classification based on n-grams are discussed. Two steps feature selection strategy is proposed which combines the preprocess within classes with the feature selection among classes. Four different feature selection...

Intelligent Concepts for the Management of Information in Workflow Systems

Georg Peters, Roger Tagg
Pages: 332 - 342
Workflow systems are commonly used in industry, commerce and government. They provide computerized support for owners of repetitive, highly standardized business processes, with a means of controlling the execution of instances of those processes according to predefined process templates. However, many...

Quorum-based Data Replication in Grid Environment

Rohaya Latip, Mohamed Othman, Azizol Abdullah, Hamidah Ibrahim, Nasir Sulaiman
Pages: 386 - 397
Replication is a useful technique for distributed database systems and can be implemented in a grid computation environment to provide a high availability, fault tolerant, and enhance the performance of the system. This paper discusses a new protocol named Diagonal Data Replication in 2D Mesh structure...

Text Categorization Based on Topic Model

Shibin Zhou, Kan Li, Yushu Liu
Pages: 398 - 409
In the text literature, many topic models were proposed to represent documents and words as topics or latent topics in order to process text effectively and accurately. In this paper, we propose LDACLM or Latent Dirichlet Allocation Category LanguageModel for text categorization and estimate parameters...

Granular RBF NN Approach and Statistical Methods Applied to Modelling and Forecasting High Frequency Data

Dusan Marcek, Milan Marcek, Jan Babel
Pages: 353 - 364
We examine the ARCH-GARCH models for the forecasting of the bond price time series provided by VUB bank and make comparisons the forecast accuracy with the class of RBF neural network models. A limited statistical or computer science theory exists on how to design the architecture of RBF networks for...

Granular Decision Tree and Evolutionary Neural SVM for Protein Secondary Structure Prediction

Anjum Reyaz-Ahmed, Yan-Qing Zhang, Robert W. Harrison
Pages: 343 - 352
A new sliding window scheme is introduced with multiple windows to form the protein data for SVM. Two new tertiary classifiers are introduced; one of them makes use of support vector machines as neurons in neural network architecture and the other tertiary classifier is a granular decision tree based...

A New Fuzzy MADM Approach and its Application to Project Selection Problem

Ali Pahlavani
Pages: 103 - 114
In this paper, a novel fuzzy MADM model with some specifications that make it distinguished from the available methods. Decision matrix is defined as a full fuzzy structure. The model only uses information on the alternatives i.e. does not require pre-assigned weight values for the attributes. The weights...

Exponential stability analysis for delayed stochastic Cohen-Grossberg neural network

Guanjun Wang, Jinling Liang
Pages: 96 - 102
In this paper, the exponential stability problems are addressed for a class of delayed Cohen-Grossberg neural networks which are also perturbed by some stochastic noises. By employing the Lyapunov method, stochastic analysis and some inequality techniques, sufficient conditions are acquired for checking...

Fuzzy Specification in Real Estate Market Decision Making

Victoria Lopez, Matilde Santos, Javier Montero
Pages: 8 - 20
In this paper we present a software tool designed as a decision aid system for all actors being involved when buying or selling real state, client and realtor, where a main objective for the commercial is to concentrate the client preferences into few alternatives. Since the required previous analysis...

Bandwidth Prediction based on Nu-Support Vector Regression and Parallel Hybrid Particle Swarm Optimization

Liang Hu, Xilong Che, Xiaochun Cheng
Pages: 70 - 83
This paper addresses the problem of generating multi-step-ahead bandwidth prediction. Variation of bandwidth is modeled as a Nu-Support Vector Regression (Nu-SVR) procedure. A parallel procedure is proposed to hybridize constant and binary Particle Swarm Optimization (PSO) together for optimizing feature...

Evaluation of E-Learning Web Sites Using Fuzzy Axiomatic Design Based Approach

Gülçin Büyüközkan, Jbid Arsenyan, Gürdal Ertek
Pages: 28 - 42
High quality web site has been generally recognized as a critical enabler to conduct online business. Numerous studies exist in the literature to measure the business performance in relation to web site quality. In this paper, an axiomatic design based approach for fuzzy group decision making is adopted...

Similarity Measuring Approach for Engineering Materials Selection

H. Doreswamy, M.N. Vanajaskhi
Pages: 115 - 122
Advanced engineering materials design involves the exploration of massive multidimensional feature spaces, the correlation of materials properties and the processing parameters derived from disparate sources. The search for alternative materials or processing property strategies, whether through analytical,...

Determining Design Characteristics of Automobile Seats Based On Fuzzy Axiomatic Design Principles

Selcuk Cebi, Cengiz Kahraman
Pages: 43 - 55
The performance of a product depends on if it is created in terms of expected functional requirements. A product is designed to satisfy some certain tasks. In this study, the design of an automobile seat is handled. Automobile seat design procedure is based on experience and trial-and-error method, rather...

Some Induced Aggregating Operators with Fuzzy Number Intuitionistic Fuzzy Information and their Applications to Group Decision Making

Guiwi Wei, Xiaofei Zhao, Rui Lin
Pages: 84 - 95
With respect to multiple attribute group decision making (MAGDM) problems in which both the attribute weights and the expert weights take the form of real numbers, attribute values take the form of fuzzy number intuitionistic fuzzy numbers, a new group decision making analysis method is developed. Firstly,...

Fuzzy Regression Control Chart Based on α-cut Approximation

Sevil Sentürk
Pages: 123 - 140
The fuzzy regression control chart is a functional technique to evaluate the process in which the average has a trend and the data represents a linguistic or approximate value. In this study, the theoretical structure of the “α-level fuzzy midrange for α-cut fuzzy X -regression control chart” is proposed...

Implications of Fuzziness for the Practical Management of High-Stakes Risks

Mark Jablonowski
Pages: 1 - 7
High-stakes (dangerous, catastrophic) risks take on a wider profile as progress unfolds. What are the impacts of technological and social change on the risk landscape? Due to the complexities and dynamics involved, we can only answer these questions approximately. By using the concept of fuzziness, we...

An Effective Traditional Chinese Medicine Syndrome Model based on Proportional Odds Model and Similarity

Tong-sheng Chen, Shao-zi Li, Chang-le Zhou
Pages: 56 - 69
This paper discusses proportional odds model and similarity on the construction of Traditional Chinese Medicine (TCM) chronic gastritis syndrome model. The syndromes explain the true relationships among a set of symptoms, which can be characterized by marginal probabilities and conditional probabilities....

Geometry Tutoring Supported by an Intelligent Drawing Interface and Automatic Problem Solving

Hyung Joon Kook
Pages: 21 - 27
In a scientific domain, learning comprises studying a finite set of principles of the domain and applying them to solve a wide variety of problems. Therefore an intelligent tutoring system in a scientific domain is required to possess an adequate methodology to deal with this principle. We suggest a...

What is Soft Computing? Bridging Gaps for 21st Century Science!

Rudolf Seising
Pages: 160 - 175
This contribution serves historical and philosophical reflecting cognitions on the role of Soft Computing in the 21st century. Referring to Magdalena's article in this issue, this paper considers the aspects of mixtures of techniques, the opposite pair "Hard Computing" and "Soft Computing", and Computational...

Hierarchical Architectures of Fuzzy Models: From Type-1 fuzzy sets to Information Granules of Higher Type

Witold Pedrycz
Pages: 202 - 214
Complex phenomena are perceived from different perspectives, diversified conceptual points of view and at various levels of granularity. Symbolic and sub-symbolic processing becomes an inherently visible computing practice. Distributed nature of perception becomes reflected in topologies of multi-agent...

Soft Computing: Coping with Complexity

Enrique H. Ruspini
Pages: 190 - 196
While it has been correctly noted that the expression “soft computing” is employed in a variety of senses and characterizations to designate a wide array of technologies, we argue that the original motivation for the introduction of soft-computing methods was the need to cope with the complexity of existing...

Upgrading ideas about the concept of Soft Computing

Javier Montero, Luis Martinez
Pages: 144 - 147
This short note is devoted to introduce the discussion carried out along this special issue on the concept of Soft Computing by key researchers in the field. We shall stress some aspects of the conception and origins of Soft Computing, supported by the scientific relevance of its participants. The contributors...

What is Soft Computing? Revisiting Possible Answers

Luis Magdalena
Pages: 148 - 159
The term Soft Computing was coined by L.A. Zadeh in the early 90's. Since that time many researchers have tried to define it considering different approaches: main constituents, properties, abilities, etc. In addition, the term Computational Intelligence has also gained popularity having a somehow quite...

Does Soft Computing Classify Research in Spiking Neural Networks?

Liam Maguire
Pages: 176 - 189
The last fifty years has witnessed considerable activity in research that develops computational approaches inspired by nature. There are a number of umbrella terms used by researchers to classify their contributions. This can cause problems in disseminating and sharing results and potentially restricts...

A (naïve) glance at Soft Computing

Enric Trillas, Claudio Moraga, Sergio Guadarrama
Pages: 197 - 201
This paper contains some naïve reflections on the currently large field of Soft Computing. After some general considerations, and of recalling some successful well known examples, it is posed the relationship between Soft Computing and Machine Intelligence. Finally, and with the aim of taking into account...

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.

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....

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,...

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...

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...

Models for Multiple Attribute Group Decision Making with 2-Tuple Linguistic Assessment Information

Guiwu Wei, Rui Lin, Xiaofei Zhao, Hongjun Wang
Pages: 315 - 324
The aim of this paper is to investigate the multiple attribute group decision making(MAGDM) problems with 2-tuple linguistic assessment information, in which the information about attribute weights is incompletely known, and the attribute values take the form of linguistic assessment information. In...

Automated Evaluation of Learners with ODALA: Application to Relational Databases E-learning

Farida Bouarab-Dahmani, Malik Si-Mohammed, Catherine Comparot, Pierre-Jean Charrel
Pages: 357 - 369
This paper deals with an approach for an automated evaluation of the learners' state of knowledge when learning by doing. This approach is called ODALA for "Ontology-Driven Auto-evaluation for e-Learning Approach". It takes place in the context of Computer Based Human Learning Environment (CBHLE) in...

Multi-attribute Evaluation of Website Quality in E-business Using an Integrated Fuzzy AHPTOPSIS Methodology

Tolga Kaya
Pages: 301 - 314
Success of an e-business company is strongly associated with the relative quality of its website compared to that of its competitors. The purpose of this study is to propose a multi-attribute e-business website quality evaluation methodology based on a modified fuzzy TOPSIS approach. In the proposed...

Application of an advanced fuzzy logic model for landslide susceptibility analysis

Biswajeet Pradhan
Pages: 370 - 381
The aim of this study is to evaluate the susceptibility of landslides at Klang valley area, Malaysia, using a Geographic Information System (GIS) and remote sensing. Landslide locations were identified in the study area from interpretation of aerial photographs and from field surveys. Topographical and...

Fuzzy Classifier Design using Modified Genetic Algorithm

P.Ganesh Kumar
Pages: 334 - 342
Development of fuzzy if- then rules and formation of membership functions are the important consideration in designing a fuzzy classifier system. This paper presents a Modified Genetic Algorithm (ModGA) approach to obtain the optimal rule set and the membership function for a fuzzy classifier. In the...

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...

Integrated total cost and Tolerance Optimization with Genetic Algorithm

R.Sampath Kumar, N. Alagumurthi
Pages: 325 - 333
The tolerance allocation problem has been studied in the literature for decades, usually using mathematical programming (or) heuristic optimization approaches. Elegant tools for minimum cost tolerance allocation have been developed over several decades but still there is no specified tool to find the...