Fuzzy Expert Systems and Fuzzy ReasoningHier lernen Sie, Expertensysteme auf der Basis von Fuzzy Logic zu konstruieren, die sich für den praktischen Einsatz eignen. Expertensysteme werden zunächst allgemein definiert, und die zugrundeliegende Mathematik wird eingeführt. Regelbasierte Systeme werden gründlicher besprochen als in jedem anderen Buch mit ähnlichem Thema. Am Ende jedes Kapitels können Sie Ihren Wissensstand anhand von Übungsaufgaben überprüfen. Von einem zugehörigen ftp-Server können Sie Ergänzungsmaterial abrufen. Für Praktiker und Forscher aus dem akademischen Umfeld gleichermaßen geeignet! |
Contents
1 | |
15 | |
3 Fuzzy Logic Fuzzy Sets and Fuzzy Numbers I | 29 |
4 Fuzzy Logic Fuzzy Sets and Fuzzy Numbers II | 57 |
5 Combining Uncertainties | 85 |
6 Inference in an Expert System I | 99 |
7 Inference in a Fuzzy Expert System II Modification of Data and Truth Values | 115 |
8 Resolving Contradictions Possibility and Necessity | 141 |
11 Running and Debugging Fuzzy Expert Systems I Parallel Programs | 181 |
12 Running and Debugging Expert Systems II Sequential RuleFiring | 199 |
13 Solving What? Problems when the Answer is Expressed in Words | 219 |
14 Programs that Can Learn from Experience | 243 |
15 Running OnLine in RealTime | 257 |
Appendix | 275 |
Answers | 377 |
References | 399 |
Other editions - View all
Common terms and phrases
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
Popular passages
Page 9 - Rules have the form of an if-then statement, where the if part is called the antecedent and the then part is called the consequent.