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针对Vague值(集)相似度量问题,指出了采用单一测度构造Vague值(集)相似度量的不足,根据不同测度表现的不同相似性度量特点,提出了两种由距离测度、未知度测度和熵测度三种测度结合的Vague值(集)多测度相似度量,并给出了相应的定义和性质.多测度相似度量体现出了多特征度量相似性的特点,若距离与熵测度失效,未知度测度仍能发挥作用,而距离与熵测度度量结果的综合,则进一步提高了分辨力.实例验证了该多测度相似度量的有效性和优越性.
Aiming at the similarity measure problem of Vague values, this paper points out the disadvantages of constructing similarity measure of Vague values using a single measure. According to the characteristics of different similarity measures of different measure performances, two measures of distance measure, unknown measure and entropy Measure similarity measures of multi-measure of Vague value (set) combined with the three measures, and give the corresponding definitions and properties.Multi-measure similarity measures show the characteristics of multi-measure similarity, if the distance and entropy measure fails, the unknown degree The measurement can still play a role, while the combination of distance and entropy measurement results further improve the resolution.Examples verify the validity and superiority of the multi-measure similarity measure.