计算机科学 ›› 2012, Vol. 39 ›› Issue (7): 219-221.

• 人工智能 • 上一篇    下一篇

多测度Value集相似度量

韦波,黎胜,黎珍惜   

  1. (桂林理工大学测绘地理信息学院 桂林 541004)(桂林理工大学广西空间信息与测绘重点实验室 桂林 541004)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Multi-measures Similarity Measures between Vague Sets

  • Online:2018-11-16 Published:2018-11-16

摘要: 针对单一测度度量Vague集相似性上的缺陷,提出了两种Vague集的多测度相似度量。给出了一种Vague集的单形体几何表示方法,亦即将Vague集的真、假隶属度和未知度表达为划分单形体同一平面的3个三角形,进而提出了适合于度量Vaguc集相似性的面积测度,并结合距离测度和未知度测度构造了Vaguc集多测度相似度量,以 在空间上体现出“点一线一面”多特征相似性度量格局。实例验证了多测度相似度量的有效性和优越性。

关键词: Vague集,相似度量,多测度,凸面单形体

Abstract: Aimed to the drawbacks of measuring similarity between Vague sets on a single measure, two similarity measures on multi-measures between Vague sets were proposed. A simplex geometrical expression of Vague sets was presented, which represents the degree of true membership, false membership and unknown for Vague sets as the 3 triarr files partitioning a same plane within a simplex. Then an area measure suiting for measuring similarity between Vague sets was proposed. Combining the area measure with the measure of distance and unknown degree, the similarity measures on multi-measures between Vague sets were constructed, which embody a measuring pattern for similarity by multi-features of "point lin}region" in spatial. The examples verify the validity and the advantage of the proposed multi-measures similarity measures.

Key words: Vague sets, Similarity measures, Multi-measures, Convex simplex

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