期刊文献+

广义直觉模糊信息粒度

Generalized Intuitionistic Fuzzy Information Granularity
原文传递
导出
摘要 直觉模糊信息粒度是度量直觉模糊粒结构不确定性的一种重要方法。本文针对直觉模糊信息粒度在度量直觉模糊粒结构上存在的不足进行分析。首先,介绍直觉模糊粒结构距离。其次,改进了基于偏序关系提出的直觉模糊信息粒度的公理化定义,从直觉模糊粒结构距离观点出发,以最细的直觉模糊粒结构为参照物,计算每个直觉模糊粒结构与最细的直觉模糊粒结构之间的距离,距离的值越大,这个直觉模糊粒结构的信息粒度越大。最后,通过例子验证结论的合理性。 Intuitionistic fuzzy information granularity is an significant approach to measure the uncertainty of intuitionistic fuzzy granular structure.This paper analyzes the insufficiency of the intuitionistic fuzzy information granularity that is used to measure the intuitionistic fuzzy granular structure.Firstly,the concept of intuitionistic fuzzy granular structure distance is introduced.Secondly,the axiomatic definition of intuitionistic fuzzy information granularity based on partial order relation is improved,from the point of the intuitionistic fuzzy granular structure distance,the distance between each intuitionistic fuzzy granular structure and the finest intuitionistic fuzzy granular structure is calculated by taking the finest intuitionistic fuzzy granular structure as a reference.The information granularity of this intuitionistic fuzzy granular structure is bigger,while the value of the intuitionistic fuzzy granular structure distance is larger.Finally,the rationality of the proposed conclusions is verified by the given case.
作者 杨伟萍 林梦雷 曾崇 YANG Wei-ping;LIN Meng-lei;ZENG Chong(School of Mathematics and Information Engineering,Longyan University,Longyan 364000,China;School of Mathematics and Statistics,Minnan Normal University,Zhangzhou 363000,China)
出处 《模糊系统与数学》 北大核心 2020年第2期102-110,共9页 Fuzzy Systems and Mathematics
基金 福建省中青年教师教育科研项目(JAT170578).
关键词 直觉模糊粒结构 直觉模糊粒结构距离 广义直觉模糊信息粒度 Intuitionistic Fuzzy Granular Structure Intuitionistic Fuzzy Granular Structure Distance Generalized Intuitionistic Fuzzy Information Granularity
  • 相关文献

参考文献5

二级参考文献27

  • 1于达仁,胡清华,鲍文.融合粗糙集和模糊聚类的连续数据知识发现[J].中国电机工程学报,2004,24(6):205-210. 被引量:70
  • 2ZHANG Wenxiu,WEI Ling,QI Jianjun.Attribute reduction theory and approach to concept lattice[J].Science in China(Series F),2005,48(6):713-726. 被引量:76
  • 3L. A. Zadeh.Some reflections on soft computing, granular computing and their roles in the conception, design and utilization of information/intelligent systems[J].Soft Computing.1998(1)
  • 4Pawlak Z.Granularity of knowledge, indiscernibility and rough sets[].Proceedings of IEEE International Conference on Fuzzy Systems.1998
  • 5Zadeh LA.Fuzzy logic=computing with words[].IEEE Transactions on Fuzzy Systems.1996
  • 6Zadeh L A.Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic[].Fuzzy Sets and Systems.1997
  • 7Zadeh LA.Fuzzy sets and information granularity[].Advances in Fuzzy Set Theory and Applications.1979
  • 8Lin TY.Granular computing on binary relations I: data mining and neighborhood systems, II: rough sets representations and belief functions[].Rough Sets in Knowledge Discovery.1998
  • 9Pawlak Z.Rough sets:theoretical aspects of reasoning about data[]..1991
  • 10Wierman M J.Measuring uncertainty in rough set theory[].International Journal of General Systems.1999

共引文献43

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部