Approximate Reasoning in Expert SystemsMadan M. Gupta |
Contents
A Zadeh | 3 |
Additive Structure of the Measures of Information Content | 13 |
Reconciliation of the YesNo Versus Grade of Membership Dualism | 33 |
Copyright | |
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A₁ A₂ algorithm analogical analysis application approach approximate reasoning Artificial Intelligence Bandler concept condition consider control rules damage decision deductive defined definition degree denote diagnostic domain Engineering entropy equations evaluation example expert systems fuzzy control systems fuzzy controller fuzzy logic fuzzy logic controller fuzzy reasoning fuzzy relation fuzzy set theory fuzzy subset given grade of membership Hg(v IEEE implication imprecise input interval J.B. Kiszka editors Kacprzyk Kiszka knowledge base knowledge representation L.A. Zadeh M.M. Gupta Mathematics measure membership function meta-knowledge method Modus Ponens Modus Tollens MYCIN node object obtained operation possibility distribution probability properties propositions Publishers B.V. North-Holland represented rule of inference satisfies Science Publishers B.V. semantic sensory Sets and Systems solution structure t-norm techniques Theorem tion translating rules truth values u₁ U₂ uncertainty University variables Yager