Contemporary Theory and Pragmatic Approaches in Fuzzy Computing Utilization

Contemporary Theory and Pragmatic Approaches in Fuzzy Computing Utilization

Copyright: © 2013 |Pages: 327

ISBN13: 9781466618701|ISBN10: 1466618701|EISBN13: 9781466618718

DOI: 10.4018/978-1-4666-1870-1

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Chen, Toly, editor. Contemporary Theory and Pragmatic Approaches in Fuzzy Computing Utilization. IGI Global, 2013. https://doi.org/10.4018/978-1-4666-1870-1

APA

Chen, T. (Ed.). (2013). Contemporary Theory and Pragmatic Approaches in Fuzzy Computing Utilization. IGI Global. https://doi.org/10.4018/978-1-4666-1870-1

Chicago

Chen, Toly, ed. Contemporary Theory and Pragmatic Approaches in Fuzzy Computing Utilization. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-1870-1

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Real world problems are complex and full of uncertainty. Fuzzy computing technologies embedded into data analysis methodologies and decision-making processes help to address the complexity of these problems.

Contemporary Theory and Pragmatic Approaches in Fuzzy Computing Utilization presents the most innovative systematic and practical facets of fuzzy computing technologies to students, scholars, and academicians, as well as practitioners, engineers, and professionals. This premier reference source focuses on up-to-date theoretical views of fuzzy computing while highlighting empirical approaches useful to real world utilization.

Table of Contents

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Front Materials

Title Page

Copyright Page

Editorial Advisory Board

Preface

Acknowledgment

Chapters

Chapter 1

Fuzzy C-Means in High Dimensional Spaces (pages 1-16)

Roland Winkler, Frank Klawonn, Rudolf Kruse

High dimensions have a devastating effect on the FCM algorithm and similar algorithms. One effect is that the prototypes run into the centre of gravity of the entire data set. The objective function must have a local minimum in the...

Chapter 2

Fuzzy Cluster Validation Based on Fuzzy PCA-Guided Procedure (pages 17-28)

K. Honda, A. Notsu, T. Matsui, H. Ichihashi

Cluster validation is an important issue in fuzzy clustering research and many validity measures, most of which are motivated by intuitive justification considering geometrical features, have been developed. This paper proposes a new...

Chapter 3

A Fuzzy Clustering Model for Fuzzy Data with Outliers (pages 29-40)

M. H. Fazel Zarandi, Zahra S. Razaee

This paper proposes a fuzzy clustering model for fuzzy data with outliers. The model is based on Wasserstein distance between interval valued data, which is generalized to fuzzy data. In addition, Keller’s approach is used to...

Chapter 4

A New Efficient and Effective Fuzzy Modeling Method for Binary Classification (pages 41-59)

T. Warren Liao

This paper presents a new fuzzy modeling method that can be classified as a grid partitioning method, in which the domain space is partitioned by the fuzzy equalization method one dimension at a time, followed by the computation of...

Chapter 5

On Possibilistic and Probabilistic Information Fusion (pages 60-72)

Ronald R. Yager

This article discusses the basic features of information provided in terms of possibilistic uncertainty. It points out the entailment principle, a tool that allows one to infer less specific from a given piece of information. The...

Chapter 6

Applying a Fuzzy and Neural Approach for Forecasting the Foreign Exchange Rate (pages 73-86)

Toly Chen

Accurately forecasting the foreign exchange rate is important for export-oriented enterprises. For this purpose, a fuzzy and neural approach is applied in this study. In the fuzzy and neural approach, multiple experts construct fuzzy...

Chapter 7

A Novel Fuzzy Associative Memory Architecture for Stock Market Prediction and Trading (pages 87-104)

Chai Quek, Zaiyi Guo, Douglas L. Maskell

In this paper, a novel stock trading framework based on a neuro-fuzzy associative memory (FAM) architecture is proposed. The architecture incorporates the approximate analogical reasoning schema (AARS) to resolve the problem of...

Chapter 8

Hand Gesture Recognition Using Multivariate Fuzzy Decision Tree and User Adaptation (pages 105-119)

Moon-Jin Jeon, Sang Wan Lee, Zeungnam Bien

As an emerging human-computer interaction (HCI) technology, recognition of human hand gesture is considered a very powerful means for human intention reading. To construct a system with a reliable and robust hand gesture recognition...

Chapter 9

Gesture Spotting Using Fuzzy Garbage Model and User Adaptation (pages 120-138)

Seung-Eun Yang, Kwang-Hyun Park, Zeungnam Bien

Thanks to the rapid advancement of human-computer interaction technologies it is becoming easier for the elderly and/or people with disabilities to operate various electrical systems. Operation of home appliances by using a set of...

Chapter 10

Indirect Adaptive Fuzzy Control for a Class of Uncertain Nonlinear Systems with Unknown Control Direction (pages 139-154)

Salim Labiod, Hamid Boubertakh, Thierry Marie Guerra

In this paper, the authors propose two indirect adaptive fuzzy control schemes for a class of uncertain continuous-time single-input single-output (SISO) nonlinear dynamic systems with known and unknown control direction. Within...

Chapter 11

Approximated Simplest Fuzzy Logic Controlled Shunt Active Power Filter for Current Harmonic Mitigation (pages 155-171)

Rambir Singh, Asheesh K. Singh, Rakesh K. Arya

This paper examines the size reduction of the fuzzy rule base without compromising the control characteristics of a fuzzy logic controller (FLC). A 49-rule FLC is approximated by a 4-rule simplest FLC using compensating factors. This...

Chapter 12

Semidefinite Programming-Based Method for Implementing Linear Fitting to Interval-Valued Data (pages 172-187)

Minghuang Li, Fusheng Yu

Building a linear fitting model for a given interval-valued data set is challenging since the minimization of the residue function leads to a huge combinatorial problem. To overcome such a difficulty, this article proposes a new...

Chapter 13

System Identification Based on Dynamical Training for Recurrent Interval Type-2 Fuzzy Neural Network (pages 188-205)

Tsung-Chih Lin, Yi-Ming Chang, Tun-Yuan Lee

This paper proposes a novel fuzzy modeling approach for identification of dynamic systems. A fuzzy model, recurrent interval type-2 fuzzy neural network (RIT2FNN), is constructed by using a recurrent neural network which recurrent...

Chapter 14

Integrated Circuit Emission Model Extraction with a Fuzzy Logic System (pages 206-217)

Tsung-Chih Lin, Ming-Jen Kuo, Alexandre Boyer

This paper describes a novel technique for multiple parameter extraction of the S12X TEM cell model using a fuzzy logic system (FLS). The FLS is utilized to capture the circuit information and to extract the circuit parameters based...

Chapter 15

Optimizing the Performance of Plastic Injection Molding Using Weighted Additive Model in Goal Programming (pages 218-229)

Abbas Al-Refaie, Ming-Hsien Li

Injection molding process is increasingly more significant in today’s plastic production industries because it provides high-quality product, short product cycles, and light weight. This research optimizes the performance of this...

Chapter 16

Modelling the Long-Term Cost Competitiveness of a Semiconductor Product with a Fuzzy Approach (pages 230-240)

Toly Chen

Unit cost is undoubtedly the most critical factor for the competitiveness of a product. Therefore, evaluating the competitiveness of a product according to its unit cost is a reasonable idea. The current practice assesses the...

Chapter 17

Extension of the TOPSIS for Multi-Attribute Group Decision Making under Atanassov IFS Environments (pages 241-255)

Deng-Feng Li, Jiang-Xia Nan

This paper extends the technique for order preference by similarity to ideal solution (TOPSIS) for solving multi-attribute group decision making (MAGDM) problems under Atanassov intuitionistic fuzzy set (IFS) environments. In this...

Chapter 18

Applying the Linguistic Strategy-Oriented Aggregation Approach to Determine the Supplier Performance with Ordinal and Cardinal Data Forms (pages 256-271)

Shih-Yuan Wang, Sheng-Lin Chang, Reay-Chen Wang

Supply chain management is a new and evolving paradigm for enterprises to cope with international competition and to improve global logistics efficiency. The suppliers’ performances affect not only supply chain execution results but...

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Compilation of References

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