A fuzzy reasoning approach for rule-based systems based on fuzzy logics

Shyi-Ming Chen

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A fuzzy reasoning approach for rule-based systems based on fuzzy logics

机译：基于模糊逻辑的规则系统模糊推理方法

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This paper presents a weighted fuzzy reasoning algorithm for rule-based systems based on weighted fuzzy logics. The proposed algorithm allows the truth values of the conditions appearing in the antecedent portions of the rules, the certainty factors of the rules, and the weights of the conditions appearing in the antecedent portions of the rules to be represented by trapezoidal fuzzy numbers. Given the fuzzy truth values of some conditions, the algorithm can perform weighted fuzzy reasoning to evaluate the fuzzy truth values of other conditions automatically.

机译：针对基于规则的系统，提出了一种基于加权模糊逻辑的加权模糊推理算法。所提出的算法允许用梯形模糊数来表示出现在规则前部的条件的真值，规则的确定性因子以及出现在规则前部的条件的权重。给定某些条件的模糊真值，该算法可以执行加权模糊推理以自动评估其他条件的模糊真值。

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《IEEE transactions on systems, man, and cybernetics. Part B》 |1996年第5期|P.769-778|共10页
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Shyi-Ming Chen;
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正文语种 eng
中图分类自动化基础理论;
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A fuzzy reasoning approach for rule-based systems based on fuzzy logics

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