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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.
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Fuzzy rule based expert systems and genetic machine learning, Andreas Geyer
- Language
- Released
- 1995
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- Title
- Fuzzy rule based expert systems and genetic machine learning
- Language
- German
- Authors
- Andreas Geyer
- Publisher
- Physica-Verl.
- Released
- 1995
- ISBN10
- 379080830X
- ISBN13
- 9783790808308
- Series
- Studies in fuzziness
- Category
- Computers, IT, Programming
- 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.