提出了一种新的带权的区间值模糊产生式规则，给出了加权模糊匹配函数和一个区间值排序算法。
In this paper, we propose a new interval-valued fuzzy production rule with weight, and provide weighted fuzzy matching function and an algorithm of interval value ranking.
为了在该情况下进行实例匹配，基于隶属度和贴近度的概念，构造了靶实例与基实例的模糊相似度函数，从而以统一形式同时处理上述两类数据。
In order to match the case in this situation, a fuzzy similarity function between case-target and Case-base was constructed based on the conception of membership degree and closeness degree.
本文提出了以信任度、可能性测度、权重有隶属函数概念作为模糊相似性匹配的基础来检索图像的方法。
In this paper, we put forward the concept of belief measure, possible measure, membership function and weight as the base of fuzzy similarity match, with these functions we can retrieve images.
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