Fuzzy Expert Systems and Fuzzy Reasoning
Coverage is accessible to practitioners and academic readers alike.
* Features end-of-chapter problems with answers provided in an appendix.
* Includes discussions of rule-based systems not available in any other book.
* Includes problem sets and tutorial programs available on the Wiley ftp site.
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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
11 Running and Debugging Fuzzy Expert Systems I Parallel Programs
12 Running and Debugging Expert Systems II Sequential RuleFiring
13 Solving What? Problems when the Answer is Expressed in Words
14 Programs that Can Learn from Experience
15 Running OnLine in RealTime
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approximate reasoning backtrack stack block 1 goal boat cann classical logic classification command mode consequent crisp data declarations data element data-driven database debugging commands decision tree defined defuzzification delete diagnosis discrete fuzzy set executed Fact fact fire block fireable rules FLOPS program fuzzify fuzzy control fuzzy control systems fuzzy expert system fuzzy logic fuzzy numbers fuzzy reasoning fuzzy systems goal Check grade of membership hypothesis implication operator inference input data Iris linguistic terms linguistic variable Medium membership functions method modified modus ponens monotonic reasoning newly fireable NewStimulus non-monotonic number of rules output parallel pconf pconf 1000 rule PetalL PRINT PRINT PRINT problem prstack r0 Time Tags Region frame reset rnum rule block rule firing rule goal rule r0 rule rule rconf rule-firing run mode SepalL sequential SetCf STACK BOTTOM STACK TOP symptom syntax t-norm TFLOPS truth value ULEZ verify write Zadehian zero