A new similarity measure between vague sets

  • Authors:
  • TianZhi Li

  • Affiliations:
  • Department of Computer Science and Technology, Dezhou University, Dezhou, Shandong, China

  • Venue:
  • FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
  • Year:
  • 2009

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Abstract

Some existing similarity measures between vague sets are analyzed and some counter-intuitive examples for these methods are showed, which may lead to wrong deduction. A new method to calculate the degree of similarity between vague sets is proposed in this paper. With this method, all three parameters describing vague sets are taking into account when calculating similarity. This method improves the distinguish ability of vague sets which turned out to be more reasonable by comparing with the existing methods.