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Abductive reasoning in normal residuated logic programming via bipolar max-product fuzzy relation equations

机译:双极MAX-PRODUAL模糊关系方程的正常静态逻辑编程的绑架推理

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Fuzzy relation equations have recently been extended to a more general framework in which the unknown variables appear together with their logical negation connectives, giving rise to the called bipolar fuzzy relation equations. This paper shows an abductive procedure for a special kind of normal residuated logic program by means of bipolar max-product fuzzy relation equations. From this procedure, interesting properties relating the models of a given normal residuated logic program to the solutions of its corresponding bipolar max-product fuzzy relation equation is deduced.
机译:最近已经扩展到模糊关系方程到更一般的框架,其中未知变量与其逻辑否定连接一起出现,从而产生被称为双极模糊关系方程。本文通过双极MAX-Product Fuzzy关系方程式显示了一种特殊类型的正常静脉逻辑程序的绑架程序。从该过程中,推导出对给定正常静脉逻辑程序的模型与其相应的双极性MAX-Product模糊关系方程的解决方案相关的有趣特性。

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