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Computation of Satisfiability Degree Based on CNF

机译:基于CNF的满意度计算

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Satisfiability degree extends the satisfiable property of a formula, represents the satisfiable extent of certain properties in model checking, and exhibits it sex actness and convenience for representing real-world uncertainty and fuzziness. Computation of the satisfiability degree of propositional formulas is concerned in this paper. The computation relies on truth table, avoids the obtaining of membership function in fuzzy logic and probability function in probabilistic logic, and finally obtains much exacter value than fuzzy logic and probabilistic logics. Two computation algorithms respectively based on interpretations of CNF (Conjunctive Normal Form)formulas and explanations of propositional formulas are proposed, and further improvement of the basic interpretation-based algorithm is disclosed.
机译:可满足程度扩展了公式的可满足性,代表了模型检查中某些属性的可满足程度,并表现出性行为和表示真实世界中不确定性和模糊性的便利性。本文关注命题公式的可满足程度的计算。该计算依赖于真值表,避免了获得模糊逻辑中的隶属函数和概率逻辑中的概率函数,并最终获得了比模糊逻辑和概率逻辑更精确的值。提出了两种分别基于CNF(合取范式)公式的解释和命题公式的解释的计算算法,并对基于基本解释的算法进行了进一步的改进。

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