Approximate Reasoning Models |
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a₁ a₂ applied approximate reasoning ARTIFICIAL INTELLIGENCE axioms b₁ b₂ basic probability assignments Bayesian networks BEL(A BEL(H certainty factors CF(H Chlamydia combination function computed conditional independence conjunction operation conorm consistent corresponding defined degree Dempster-Shafer theory Dempster's rule disjunction Dubois and Prade Duda E₁ E₂ example expert system expressed fact false forward reasoning function frame of discernment fuzzy intervals fuzzy logic fuzzy set fuzzy truth values H₁ hypotheses implication function inference network Klebsiella Legionella linguistic certainty values linguistic values m₁₂(h means membership function modularity modus ponens modus tollens MYCIN negation Nilsson nodes noticed obtain parallel combination patterns of inference Pearl PL(A PL(H PL₂(h PNEUMON-IA ponens generating function possibility distribution possibility measures possibility theory probabilistic approaches probabilistic logic propagation properties proposition PROSPECTOR R-implications represented result satisfies sentences Shafer shown in Fig subset t-norm t₁ triangular norm Trillas true truth tables uncertainty updating vague