用k-偏好积分法研究步长隶属函数模糊数的表示、排序、距离和相似度

Shan-Huo Chen, Chien-Chung Wang
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引用次数: 5

摘要

采用改进的k-偏好积分法处理表征、排序;阶跃形式隶属函数模糊数的距离和相似度。首先,利用改进的k-偏好积分法计算表征值。然后通过比较两个或多个具有阶跃式隶属函数的模糊数的表示值,对它们进行排序。两个阶跃式隶属函数模糊数之间的距离是它们的表示值之差的绝对值,而它们之间的相似度可以由它们的距离得到。最后,证明了关于表示、排序、距离和相似度的一些性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Representation, ranking, distance, and similarity of fuzzy numbers with step form membership function using k-preference integration method
The modified k-preference integration method is applied to treat the representation, ranking; distance and similarity of fuzzy numbers with step form membership function. First, the representation value is computed by using the modified k-preference integration method. Then two or more fuzzy numbers with step form membership function are ranked by comparing their representation values. The distance between two fuzzy numbers with step form membership function is the absolute value of the difference between their representation values, while the similarity between them can be derived from their distance. Finally, some properties regarding the representation, ranking, distance, and similarity have been proved.
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