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In order to build expert systems and other human-behaviour-like systems one needs reasoning schemes that are richer than the classical two-valued logic. This paper starts with a linguistic justification that intermediate degrees of truth are needed. Up to an isomorphism the unit interval [0,1] with its natural order is taken as the domain of possible values for the truth of a proposition. The main part of this paper concerns the generalization of the classical implication operator. The implication \(A\to B\) quantifies the degree by which B is at least as true as A. Starting from some intuitively acceptable axioms, introduced by Trillas and Valverde, it is proved that the implication must be a continuous archimedean nilpotent S-conorm satisfying a supplementary condition. The last paragraph treats the mathematical structure of conjunction and disjunction operators as well as some additional theorems about the implication.
Applied Mathematics, multiple-valued logic, Informatique appliquée logiciel, Intelligence artificielle, Fuzzy logic; logic of vagueness, Lukasiewicz implication, Theoretical Computer Science, intermediate degrees of truth, Mathématiques, implication, Artificial Intelligence, Many-valued logic, Informatique mathématique, Logic of natural languages, fuzzy logic, Software
Applied Mathematics, multiple-valued logic, Informatique appliquée logiciel, Intelligence artificielle, Fuzzy logic; logic of vagueness, Lukasiewicz implication, Theoretical Computer Science, intermediate degrees of truth, Mathématiques, implication, Artificial Intelligence, Many-valued logic, Informatique mathématique, Logic of natural languages, fuzzy logic, Software
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 194 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |