International Journal of Computational Intelligence Systems

Volume 3, Issue 1, April 2010

1. 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...

2. 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...

3. 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...

4. 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...

5. 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...

6. 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....

7. 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...

8. 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,...

9. 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...

10. 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...

11. 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,...

12. 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...