From computing with numbers to computing with words. From manipulation of measurements to manipulation of perceptions

作者: Lofti Zadeh

DOI: 10.1007/1-4020-3167-X_23

关键词: Local consistencyPredicate logicFuzzy setTheoretical computer scienceFuzzy numberArtificial intelligenceComputing with words and perceptionsRule of inferenceComputer scienceNatural languageConstraint satisfaction problem

摘要: Discusses a methodology for reasoning and computing with perceptions rather than measurements. An outline of such methodology-referred to as computational theory is presented in this paper. The perceptions, or CTP short, based on the CW. In CTP, words play role labels and, more generally, are expressed propositions natural language. CW-based techniques employed translate language into what called Generalized Constraint Language (GCL). language, meaning proposition generalized constraint, N R, where constrained variable, R constraining relation isr variable copula which r whose value defines way constrains S. Among basic types constraints are: possibilistic, veristic, probabilistic, random set, Pawlak fuzzy graph usuality. wide variety GCL makes much expressive predicate logic. CW, initial terminal data sets, IDS TDS, assumed consist These translated, respectively, antecedent consequent constraints. Consequent derived from through use rules constraint propagation. principal propagation rule extension principle. retranslated yielding set (TDS). CW coincide inference A problem that explicitation N, X represents proposition, p,

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