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Volumn 33, Issue , 2006, Pages 125-138

Fuzzy prototypes based on typicality degrees

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EID: 33845445677     PISSN: 16153871     EISSN: 18600794     Source Type: Book Series    
DOI: 10.1007/3-540-31182-3_11     Document Type: Article
Times cited : (16)

References (19)
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    • (1998) Proc. of IPMU'98 , pp. 778-785
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    • Fisher, R.A.1
  • 6
    • 8344280434 scopus 로고    scopus 로고
    • Fuzzy partitioning of quantitative attribute domains by a cluster goodness index
    • Technical Report 368, Turku Centre for Computer Science
    • A. Gyenesei. Fuzzy partitioning of quantitative attribute domains by a cluster goodness index. Technical Report 368, Turku Centre for Computer Science, 2000.
    • (2000)
    • Gyenesei, A.1
  • 7
    • 0030289773 scopus 로고    scopus 로고
    • Induction of fuzzy rules and membership functions from training examples
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    • Descriptive concept extraction with exceptions by hybrid clustering
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    • M.J. Lesot and B. Bouchon-Meunier. Descriptive concept extraction with exceptions by hybrid clustering. In FuzzIEEE04, Budapest, Hungary, 2004.
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    • Lesot, M.J.1    Bouchon-Meunier, B.2
  • 13
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    • An overview of membership function generation techniques for pattern recognition
    • S. Medasani, J. Kim, and R. Krishnapuram. An overview of membership function generation techniques for pattern recognition. Int. Journal of Approximate Reasoning, 19(3-4):391-417, 1998.
    • (1998) Int. Journal of Approximate Reasoning , vol.19 , Issue.3-4 , pp. 391-417
    • Medasani, S.1    Kim, J.2    Krishnapuram, R.3
  • 14
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    • Constructing prototypes from large databases
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    • Principles of categorization
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.