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Studies in Fuzziness and Soft Computing

An Emerging Paradigm

By: Witold Pedrycz (Editor)

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Hardcover | 6 June 2001

At a Glance

Hardcover
404 Pages

Dimensions(cm)
23.5 x 15.24 x 2.54

Hardcover

$249.75

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Granular Computing is concerned with constructing and processing carried out at the level of information granules. Using information granules, we comprehend the world and interact with it, no matter which intelligent endeavor this may involve. The landscape of granular computing is immensely rich and involves set theory (interval mathematics), fuzzy sets, rough sets, random sets linked together in a highly synergetic environment. This volume is a first comprehensive treatment of this emerging paradigm and embraces its fundamentals, underlying methodological framework, and a sound algorithmic environment. The panoply of applications covered includes system identification, telecommunications, linguistics and music processing. Written by experts in the field, this volume will appeal to all developing intelligent systems, either working at the methodological level or interested in detailed system realization.

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You Can Find This Book In

Non-Fiction Mathematics Discrete Mathematics Computing & I.T.Computer Science Artificial Intelligence Engineering & Technology Electronics & Communications Engineering Communications Engineering & Telecommunications Electronics Engineering Systems Analysis & Design Mathematical Foundation

Set Theory

Interval Arithmetic and Interval Analysis: An Introduction	p. 1
Interval and Ellipsoidal Uncertainty Models	p. 23
Nonlinear Bounded-Error Parameter Estimation Using Interval Computation	p. 58
Random Sets: Theory and Applications	p. 72
Rough Sets and Boolean Reasoning	p. 95
Granulation and Nearest Neighborhoods: Rough Set Approach	p. 125
An Inquiry into the Theory of Defuzzification	p. 143
Fuzzy Partitioning Methods	p. 163
A Coding Method to Handle Linguistic Variables	p. 187
A Formal Theory of Fuzzy Natural Language Quantification and its Role in Granular Computing	p. 215
Granularity and Specificity in Fuzzy Rule-Based Systems	p. 257
Granular Computing in Neural Networks	p. 275
Fuzzy Clustering for Multiple-Model Approaches in System Identification and Control	p. 306
Information Granulation in Automated Modeling	p. 324
Optical Music Recognition: the Case of Granular Computing	p. 341
Modeling MPEG VBR Video Traffic Using Type-2 Fuzzy Logic Systems	p. 367
Induction of Rules about Complications with the Use of Rough Sets	p. 384
Table of Contents provided by Publisher. All Rights Reserved.

Studies in Fuzziness and Soft Computing

An Emerging Paradigm

At a Glance

Hardcover

Shipping

How to return your order

Defective items

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