Fuzzy Logic And Soft Computing
Author:   Bernadette Bouchon-meunier (Univ Pierre Et Marie Curie-paris 6, France) ,  Ronlad R Yager (Iona College, Usa) ,  Lotfi A Zadeh (Univ Of California, Berkeley, Usa) ,  Lotfi A. Zadeh (University of California, Berkeley, USA)
Publisher:   World Scientific Publishing Co Pte Ltd
Volume:   4
ISBN:  

9789810223458


Pages:   508
Publication Date:   01 September 1995
Format:   Hardback
Availability:   In Print   Availability explained
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Fuzzy Logic And Soft Computing


Overview

Soft computing is a new, emerging discipline rooted in a group of technologies that aim to exploit the tolerance for imprecision and uncertainty in achieving solutions to complex problems. The principal components of soft computing are fuzzy logic, neurocomputing, genetic algorithms and probabilistic reasoning. This volume is a collection of up-to-date articles giving a snapshot of the current state of the field. It covers the whole expanse, from theoretical foundations to applications. The contributors are among the world leaders in the field.

Full Product Details

Author:   Bernadette Bouchon-meunier (Univ Pierre Et Marie Curie-paris 6, France) ,  Ronlad R Yager (Iona College, Usa) ,  Lotfi A Zadeh (Univ Of California, Berkeley, Usa) ,  Lotfi A. Zadeh (University of California, Berkeley, USA)
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
Volume:   4
Dimensions:   Width: 16.80cm , Height: 3.30cm , Length: 22.00cm
Weight:   0.984kg
ISBN:  

9789810223458


ISBN 10:   9810223455
Pages:   508
Publication Date:   01 September 1995
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Fuzzy logic and genetic algorithms; learning; fuzzy and hybrid systems; decision and aggregation techniques; fuzzy logic in databases; foundations of fuzzy logic; applications of fuzzy sets.

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