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Journal of Biotechnology, 1992
This paper describes a fuzzy sets method which is very useful for handling uncertainties and essential for knowledge acquisition of a human expert. Kinetics of a reactor is often complex and not trivial to describe by mathematical equations. Reactor control by traditional control technology is therefore difficult. A novel technology is presented.
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This paper describes a fuzzy sets method which is very useful for handling uncertainties and essential for knowledge acquisition of a human expert. Kinetics of a reactor is often complex and not trivial to describe by mathematical equations. Reactor control by traditional control technology is therefore difficult. A novel technology is presented.
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2020
Fuzzy logic is an approach to AI which focuses on the mechanization of natural language. It has long been proposed by Zadeh, its originator, as another paradigm for AI and the correct way to achieve "human level machine intelligence". To present day, this approach hasn't prevailed, but in the light of some recent tendencies in AI development it can ...
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Fuzzy logic is an approach to AI which focuses on the mechanization of natural language. It has long been proposed by Zadeh, its originator, as another paradigm for AI and the correct way to achieve "human level machine intelligence". To present day, this approach hasn't prevailed, but in the light of some recent tendencies in AI development it can ...
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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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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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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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2013
Let X be a classical set of objects, called the universe, whose generic elements are denoted x.
Pascal Held +5 more
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Let X be a classical set of objects, called the universe, whose generic elements are denoted x.
Pascal Held +5 more
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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