Results 131 to 140 of about 149 (146)
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Fuzzy logic in control systems: fuzzy logic controller. I
IEEE Transactions on Systems, Man, and Cybernetics, 1990For pt.I see ibid., vol.20, no.2, p.404-18, 1990. The basic aspects of the FLC (fuzzy logic controller) decision-making logic are examined. Several issues, including the definitions of a fuzzy implication, compositional operators, the interpretations of the sentence connectives 'and' and 'also', and fuzzy inference mechanisms, are investigated ...
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2004
Fuzzy sets were introduced by Zadeh [332] in 1965 to represent/manipulate data and information possessing nonstatistical uncertainties. It was specifically designed to mathematically represent uncertainty and vagueness and to provide formalized tools for dealing with the imprecision intrinsic to many problems.
Mario Fedrizzi+2 more
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Fuzzy sets were introduced by Zadeh [332] in 1965 to represent/manipulate data and information possessing nonstatistical uncertainties. It was specifically designed to mathematically represent uncertainty and vagueness and to provide formalized tools for dealing with the imprecision intrinsic to many problems.
Mario Fedrizzi+2 more
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International Journal of Intelligent Systems, 1991
One of the main features of Fuzzy Logic is its capability to deal with the concept of compatibility between two propositions, in such a way that the inference process modeled through the Compositional Rule of Inference is independent from the particular possibility distributions involved.
Lluís Godo, J. Jacas, L. Valverde
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One of the main features of Fuzzy Logic is its capability to deal with the concept of compatibility between two propositions, in such a way that the inference process modeled through the Compositional Rule of Inference is independent from the particular possibility distributions involved.
Lluís Godo, J. Jacas, L. Valverde
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Fuzzy reasoning and fuzzy logic
Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium, 2002Fuzzy reasoning and fuzzy logic are two related but different research fields such that both are fruitful but have not yet been well linked. The aim of the paper is to: (i) prove that it is impossible to keep all theorems in classical propositional calculus to be tautologies in fuzzy propositional calculus; (ii) establish a so called quasi-formal ...
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Probability Logic as a Fuzzy Logic
1995The basic principles of fuzzy logic have been formulated by Zadeh (1975) and successively examined by several other authors (as an example, see Pavelka, 1979). Now, in spite of the fact that fuzzy logic is usually considered rather far from probability logic, the purpose of some recent researches of mine is to show that fuzzy logic is a useful tool to ...
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Fuzzy description logics in the framework of mathematical fuzzy logic
2015Fuzzy Description Logics (DLs) are a logical formalism for the representation of structured knowledge affected by imprecision or vagueness. The chapter provides insights in terms of Mathematical Fuzzy Logic.
Bobillo F+5 more
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1992
In the preceding chapters we presented the alternative set theory as a mathematical base and the functional generative description of natural language as a linguistic base of the AML. This chapter is devoted to fuzzy logic and fuzzy set theory (FST). In some sense, this is a step detour.
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In the preceding chapters we presented the alternative set theory as a mathematical base and the functional generative description of natural language as a linguistic base of the AML. This chapter is devoted to fuzzy logic and fuzzy set theory (FST). In some sense, this is a step detour.
openaire +2 more sources