Similarity based on uniqueness measure in fuzzy information system and its clustering

被引：0
|
作者：
Emoto, M [1 ]
Matsumoto, M [1 ]
Mukaidono, M [1 ]
机构：
[1] Meiji Univ, Sch Business Adm, Tokyo 101, Japan
来源：
2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7 | 2004年
关键词：
similarity; clustering; human perception;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We have proposed similarity based on uniqueness measure in binary information system before. This similarity is based on human's perception and we get the similarity by using uniqueness of attribute values in subset of all objects in an information system. We regard this subset as knowledge. The similarity has a property that is able to change order of similarities by knowledge. In this paper, we extend binary information system into fuzzy information system and propose the similarity based on uniqueness measure in fuzzy information system. Also, we consider clustering using the similarity.
引用
收藏
页码：339 / 344
页数：6
相关论文
共 50 条
  • [1] Clustering using similarity based on uniqueness measure and its properties
    Matsumoto, M
    Emoto, M
    Mukaidono, M
    [J]. 2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 345 - 349
  • [2] Intuitionistic Fuzzy Similarity-Based Information Measure in the Application of Pattern Recognition and Clustering
    Rakhi Gupta
    Satish Kumar
    [J]. International Journal of Fuzzy Systems, 2022, 24 : 2493 - 2510
  • [3] Intuitionistic Fuzzy Similarity-Based Information Measure in the Application of Pattern Recognition and Clustering
    Gupta, Rakhi
    Kumar, Satish
    [J]. INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2022, 24 (05) : 2493 - 2510
  • [4] Fuzzy partition based similarity measure for spectral clustering
    [J]. 1600, Science and Engineering Research Support Society (09):
  • [5] Spectral clustering with fuzzy similarity measure
    Zhao, Feng
    Liu, Hanqiang
    Jiao, Licheng
    [J]. DIGITAL SIGNAL PROCESSING, 2011, 21 (06) : 701 - 709
  • [6] Fuzzy Logic Based Similarity Measure for Information Retrieval System Performance Improvement
    Gupta, Yogesh
    Saini, Ashish
    Saxena, A. K.
    Sharan, Aditi
    [J]. DISTRIBUTED COMPUTING AND INTERNET TECHNOLOGY, ICDCIT 2014, 2014, 8337 : 224 - 232
  • [7] A Similarity Measure For Atanassov Intuitionistic Fuzzy Sets and its Application to Clustering
    Khan, Mohd Shoaib
    Lohani, Q. M. Danish
    [J]. 2016 INTERNATIONAL WORKSHOP ON COMPUTATIONAL INTELLIGENCE (IWCI), 2016, : 232 - 239
  • [8] New similarity measure of Pythagorean fuzzy sets based on the Jaccard index with its application to clustering
    Hussain, Zahid
    Alam, Sherbaz
    Hussain, Rashid
    Rahman, Shams ur
    [J]. AIN SHAMS ENGINEERING JOURNAL, 2024, 15 (01)
  • [9] Aggregation similarity measure based on intuitionistic fuzzy closeness degree and its application to clustering analysis
    Wang, Feng
    Mao, Junjun
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 35 (01) : 609 - 625
  • [10] Aggregation Similarity Measure Based on Hesitant Fuzzy Closeness Degree and Its Application to Clustering Analysis
    Feng WANG
    [J]. Journal of Systems Science and Information, 2019, 7 (01) : 70 - 89
12345