Non-Fiction Books:

Accuracy Improvements in Linguistic Fuzzy Modeling

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Hardback
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Description

Fuzzy modeling usually comes with two contradictory requirements: interpretability, which is the capability to express the real system behavior in a comprehensible way, and accuracy, which is the capability to faithfully represent the real system. In this framework, one of the most important areas is linguistic fuzzy modeling, where the legibility of the obtained model is the main objective. This task is usually developed by means of linguistic (Mamdani) fuzzy rule-based systems. An active research area is oriented towards the use of new techniques and structures to extend the classical, rigid linguistic fuzzy modeling with the main aim of increasing its precision degree. Traditionally, this accuracy improvement has been carried out without considering the corresponding interpretability loss. Currently, new trends have been proposed trying to preserve the linguistic fuzzy model description power during the optimization process. Written by leading experts in the field, this volume collects some representative researcher that pursue this approach.
Release date Australia
June 4th, 2003
Audiences
  • General (US: Trade)
  • Tertiary Education (US: College)
Contributors
  • Edited by Francisco Herrera Triguero
  • Edited by Jorge Casillas
  • Edited by Luis Magdalena
  • Edited by O. Cordon
Illustrations
64 Illustrations, black and white; XII, 385 p. 64 illus.
Pages
385
Dimensions
156x234x23
ISBN-13
9783540029335
Product ID
2809954

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