Fuzzy Rule-based Expert Systems and Genetic Machine Learning
Author:   Andreas Geyer-Schulz
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2nd Revised edition
Volume:   v. 3
ISBN:  

9783790809640


Pages:   452
Publication Date:   October 1996
Format:   Hardback
Availability:   Out of stock   Availability explained


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Fuzzy Rule-based Expert Systems and Genetic Machine Learning


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Overview

This work presents fuzzy rule-languages as links between quantitative and qualitative models. In the first part, the semantic of fuzzy rule-languages is extended with a type system and an object-oriented system. In the second part, fuzzy rule-languages are integrated with genetic algorithms and with classifier systems. For this purpose, the class of genetic algorithms over context-free languages has been developed.

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Author:   Andreas Geyer-Schulz
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Physica-Verlag GmbH & Co
Edition:   2nd Revised edition
Volume:   v. 3
Weight:   0.865kg
ISBN:  

9783790809640


ISBN 10:   3790809640
Pages:   452
Publication Date:   October 1996
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   Out of stock   Availability explained

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