Intuitionistic Fuzzy Similarity Measure for Generalized Fuzzy Numbers and its application in Fingerprint Matching
作者: J. DhivyaB. Sridevi
作者单位: 1Kumaraguru College of Technology , Coimbatore , Tamil Nadu , India
2PSG College of Technology , Coimbatore , Tamil Nadu , India
刊名: IETE Journal of Research, 2019, Vol.65 (4), pp.523-534
来源数据库: Taylor & Francis Journal
DOI: 10.1080/03772063.2018.1433081
关键词: Centre of gravity (COG)Fuzzy set (FS)Generalized fuzzy numbers (GFNs)Intuitionistic fuzzy set (IFS)Intuitionistic fuzzy similarity measure (IFSM)Similarity measure
原始语种摘要: ABSTRACT(#br)Fuzzy geometric measures have been found to reflect the spatial ambiguity of an image. Therefore, the study of similarity of fuzzy numbers is crucial in decision making. In this work, an intuitionistic fuzzy similarity measure (IFSM) has been proposed to calculate the degree of similarity of generalized fuzzy numbers (GFNs). The IFSM has been developed by integrating the concept of centre of gravity (COG) points and intuitionistic fuzzy difference of distance of points of fuzzy numbers. Properties that are relevant for a similarity measure have also been derived for the proposed IFSM. Further, a few pattern sets available in literature have been compared and it was observed that the IFSM provides a very intuitive quantification. Finally, the similarity measure has been...
全文获取路径: Taylor & Francis  (合作)
影响因子:0.2 (2011)

  • fuzzy 模糊的
  • similarity 相似性
  • intuitive 直观的
  • gravity 重力
  • IFS Interactive File-Sharing
  • matching 匹配
  • generalized 广义
  • geometric 凡何
  • measure 测度
  • fingerprint 指纹