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Fuzzy expert systems and fuzzy reasoning /
Siler (Kemp-Carraway Heart Institute) and Buckley (mathematics, U. of Alabama) explore the emulation of human thought, complete with its capability to deal with uncertainties, ambiguities, and contradictions. They examine rule-based and neural net systems and give theories and methods readers can us...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
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| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, N.J. :
Wiley-Interscience,
©2005.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- FUZZY EXPERT SYSTEMS AND FUZZY REASONING; CONTENTS; Preface; 1 Introduction; 2 Rule-Based Systems: Overview; 3 Fuzzy Logic, Fuzzy Sets, and Fuzzy Numbers: I; 4 Fuzzy Logic, Fuzzy Sets, and Fuzzy Numbers: II; 5 Combining Uncertainties; 6 Inference in an Expert System I; 7 Inference in a Fuzzy Expert System II: Modification of Data and Truth Values; 8 Resolving Contradictions: Possibility and Necessity; 9 Expert System Shells and the Integrated Development Environment (IDE); 10 Simple Example Programs; 11 Running and Debugging Fuzzy Expert Systems I: Parallel Programs.