Fuzzy Expert System ToolsWiley, 1996. gada 6. aug. - 198 lappuses Fuzzy set theory is a mathematical structure for representing uncertainty. Modern intelligent systems must combine knowledge based on techniques for gathering and processing information with methods of approximate reasoning. This enables an intelligent system to better emulate human decision-making in uncertain environments. Complimentary to the text is a software package containing executable FEST code. The text contains a detailed description of FEST and its coherent and systematic exploitation. |
Saturs
GETTING STARTED | 13 |
FUZZY SET THEORY | 23 |
POSSIBILITYPROBABILITY CONSISTENCY PRINCIPLE | 37 |
Autortiesības | |
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Algorithm artificial intelligence associated backward chaining base of Table blackboard certainty factor Chapter clause bit-matrix column Compare the premise compute concluding rule conclusion clause conclusion of rule consider cursor data structure degree of membership delete designed direct chaining inference displays domain Equation ES-Shell evaluated example expert system shell FEST version File Grammar fire rule forward chaining fuzzy expert system fuzzy logic fuzzy set TALL fuzzy set theory fuzzy variable grade of membership Hence high pressure human experts inference engine inference procedure inferencing intersection interval K-Base knowledge base knowledge representation linked logical expression main menu matching factor mathematical clause membership function membership grade modifier MYCIN option parameter parsing premise clause premise of rule preprocessing proposition R-list regular clause relational list RRBM rule number rule R1 Section semantic nets set the match shown in Figure Step transition table true uncertainty verify xx(x
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