Fuzzy Rule-Based Expert Systems and Genetic Machine Learning
Andreas Geyer-Schulz(Author)
Physica (Publisher)
Published on 15. February 1995
Book
Hardback
XVIII, 413 pages
978-3-7908-0830-8 (ISBN)
Article exhausted; check for reprint
Description
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.
More details
Series
Language
English
Place of publication
Heidelberg
Germany
Target group
College/higher education
Professional and scholarly
Illustrations
67
16 s/w Tabellen, 67 s/w Abbildungen
67 figures, 16 tables
Dimensions
Height: 216 mm
Width: 138 mm
Weight
825 gr
ISBN-13
978-3-7908-0830-8 (9783790808308)
Schweitzer Classification
Other editions
New editions

Andreas Geyer-Schulz
Fuzzy Rule-Based Expert Systems and Genetic Machine Learning
Book
11/1996
2nd Edition
Physica
€74.00
Article exhausted; check different version