This function can be used to measure the similarity between individual preference and to construct individual and group consensus index.

运用三角模糊数的概念，根据个体加权向量，提出衡量个体间一致性的相似度量函数，由此构造个体、群体的一致性指标。

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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.

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。

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Based on this similarity measure, a global energy function is constructed and the final disparity map is obtained by the improved belief propagation algorithm.

在此基础上建立全局能量函数，并采用改进的置信度传播算法进行视差图的求解。

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