一种基于模糊逻辑的、用于基于规则系统的模糊推理方法。
A fuzzy reasoning approach for rule-based systems based on fuzzy logics.
作者信息
Chen S M
机构信息
Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu.
出版信息
IEEE Trans Syst Man Cybern B Cybern. 1996;26(5):769-78. doi: 10.1109/3477.537318.
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.
本文提出了一种基于加权模糊逻辑的、用于基于规则系统的加权模糊推理算法。该算法允许用梯形模糊数表示规则前件部分出现的条件的真值、规则的确定性因子以及规则前件部分出现的条件的权重。给定某些条件的模糊真值，该算法可以进行加权模糊推理，以自动评估其他条件的模糊真值。
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