A logic for reasoning about the probability of fuzzy events
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文摘
In this paper we present the logic itle=""Click to view the MathML source"">FPn,Ł) which allows to reason about the probability of fuzzy events formalized by means of the notion of state in a MV-algebra. This logic is defined starting from a basic idea exposed by Hájek [Metamathematics of Fuzzy Logic, Kluwer, Dordrecht, 1998]. Two kinds of semantics have been introduced, namely the class of weak and strong probabilistic models. The main result of this paper is a completeness theorem for the logic itle=""Click to view the MathML source"">FPn,Ł) w.r.t. both weak and strong models. We also present two extensions of itle=""Click to view the MathML source"">FPn,Ł): the first one is the logic itle=""Click to view the MathML source"">FPn,RPL), obtained by expanding the itle=""Click to view the MathML source"">FPn,Ł)-language with truth-constants for the rationals in itle=""Click to view the MathML source"">[0,1], while the second extension is the logic allowing to reason about conditional states.

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