Fuzzy Rule-Based Expert Systems and Genetic Machine Learning

Geyer-Schulz, Andreas

ISBN 10: 379080830X / ISBN 13: 9783790808308

Published by Physica 15.02.1995., 1995

About this Item

413 S. This book integrates fuzzy rule-languages with genetic algorithms and classifier systems with the goal of obtaining fuzzy rule-based expert systems with learning capabilities. The first part shows, how the expressiveness of fuzzy rule-languages can be extended beyond fuzzy control. For the syntax context-free languages are used, for the semantic a type system and an object-oriented system. Several applications of these new fuzzy rule-languages to qualitative models from various fields of business administration and management science are shown. The second part presents a new approach to the integration of fuzzy rule-languages with genetic algorithms. For this purpose a new class of genetic algorithms over context-free languages is developed and analyzed. Sprache: Englisch Gewicht in Gramm: 825.

Seller Inventory # 366468

Bibliographic Details

• Title: Fuzzy Rule-Based Expert Systems and Genetic Machine Learning
• Publisher: Physica 15.02.1995.
• Publication Date: 1995
• Language: English
• ISBN 10: 379080830X
• ISBN 13: 9783790808308
• Binding: Unbekannt
• Condition: Gut
• Weight: 825 grams
• Seller catalogs:
  • Alle Bücher

About this title

Synopsis

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.