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Volumn 6, Issue 3, 1998, Pages 411-425

Two nonparametric models for fusing heterogeneous fuzzy data

Author keywords

Fuzzy clustering; Fuzzy modeling; Heterogeneous fuzzy data; Nonparametric models; Piecewise linear splines; Possibility necessity measures

Indexed keywords

DATA PROCESSING; DATA STRUCTURES; DECODING; ENCODING (SYMBOLS); MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; MEMBERSHIP FUNCTIONS;

EID: 0032140107     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/91.705509     Document Type: Article
Times cited : (73)

References (8)
  • 2
    • 0030216669 scopus 로고    scopus 로고
    • A parametric model for fusing heterogeneous fuzzy data
    • May
    • R. J. Hathaway, J. C. Bezdek, and W. Pedrycz, "A parametric model for fusing heterogeneous fuzzy data," IEEE Trans. Fuzzy Syst., vol. 4, pp. 270-281, May 1996.
    • (1996) IEEE Trans. Fuzzy Syst. , vol.4 , pp. 270-281
    • Hathaway, R.J.1    Bezdek, J.C.2    Pedrycz, W.3
  • 8
    • 0027595430 scopus 로고
    • A possibilistic approach to clustering
    • May
    • R. Krishnapuram, and J. Keller, "A possibilistic approach to clustering," IEEE Trans. Fuzzy Syst., vol. 1, pp. 98-110, May 1993.
    • (1993) IEEE Trans. Fuzzy Syst. , vol.1 , pp. 98-110
    • Krishnapuram, R.1    Keller, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.