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Automatic Proving of Fuzzy Formulae with Fuzzy Logic Programming and SMT

机译:用模糊逻辑编程和SMT自动证明模糊公式

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In this paper we deal with propositional fuzzy formulae containing severalpropositional symbols linked with connectives defined in a lattice of truth degrees more complex than Bool. We firstly recall an SMT (Satisfiability Modulo Theories) based method for automatically proving theorems in relevant infinitely valued (including ?ukasiewicz and G¨odel) logics. Next, instead of focusing on satisfiability (i.e., proving the existence of at least one model) or unsatisfiability, our interest moves to the problem of finding the whole set of models (with a finite domain) for a given fuzzy formula. We propose an alternative method based on fuzzy logic programming where the formula is conceived as a goal whose derivation tree contains on its leaves all the models of the original formula, by exhaustively interpreting each propositional symbol in all the possible forms according the whole setof values collected on the underlying lattice of truth-degrees.
机译:在本文中,我们处理命题模糊公式,该命题模糊公式包含多个命题符号,这些命题符号与在比布尔更为复杂的真度晶格中定义的连接词相连。我们首先回顾一下基于SMT(可满足性模理论)的方法,该方法可自动证明相关的无限值(包括?ukasiewicz和Gödel)逻辑中的定理。接下来,我们不再关注可满足性(即证明至少一个模型的存在)或不可满足性,而是关注针对给定的模糊公式找到整个模型集(具有有限域)的问题。我们提出了一种基于模糊逻辑编程的替代方法,其中该公式被认为是一个目标,其推导树在其叶子上包含原始公式的所有模型,方法是根据收集的全部值以所有可能的形式详尽地解释每个命题符号在真度的基本格上。

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