Fuzzy Truth Maintenance System for Non-Monotonic Reasoning

P. V. Reddy
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Abstract

Sometimes Artificial Intelligence (AI) has to deal with undecided problems. An undecided problem has no computer solution. The non-monotonic problem is undecided. Fuzzy logic will make undecided into decided. Fuzzy logic with twofold fuzzy set will give conclusion for non-monotonic reasoning. In this paper, Fuzzy non-monotonic reasoning is studied with twofold fold fuzzy membership functions belief and disbelief twofold to made undecided problem in to decidable. Fuzzy certainty factor (FCF) is defined to eliminate conflict between belief and disbelief. Fuzzy truth maintenance system (FTMS) is studied for computation of fuzzy non-monotonic reasoning to make monotonic. Some examples are given for fuzzy non-monotonic reasoning.
非单调推理的模糊真值维持系统
有时,人工智能(AI)必须处理尚未确定的问题。一个悬而未决的问题没有计算机解决方案。非单调问题尚未确定。模糊逻辑会使未决定变成决定。具有双模糊集的模糊逻辑给出了非单调推理的结论。本文研究了模糊非单调推理的双重模糊隶属函数,即信念和不相信的双重模糊隶属函数,使未决定问题变为可决定问题。模糊确定性因子(FCF)的定义是为了消除信与不信之间的冲突。研究模糊真值维持系统(FTMS),使模糊非单调推理的计算变得单调。给出了模糊非单调推理的一些例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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