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Volumn 119, Issue 2, 2001, Pages 273-290

Fuzzy regression using asymmetric fuzzy coefficients and fuzzified neural networks

Author keywords

[No Author keywords available]

Indexed keywords

DECISION THEORY; FUZZY SETS; LINEAR PROGRAMMING; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; PROBLEM SOLVING;

EID: 0035313816     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(98)00370-4     Document Type: Article
Times cited : (109)

References (19)
  • 8
    • 0008315304 scopus 로고
    • Interval regression analysis by mixed 0-1 integer programming problem
    • (in Japanese)
    • Ishibuchi H., Tanaka H. Interval regression analysis by mixed 0-1 integer programming problem. J. Jpn. Indust. Management Assoc. 40(5):1989;312-319. (in Japanese).
    • (1989) J. Jpn. Indust. Management Assoc , vol.40 , Issue.5 , pp. 312-319
    • Ishibuchi, H.1    Tanaka, H.2
  • 9
    • 0001557773 scopus 로고
    • Fuzzy regression analysis using neural networks
    • Ishibuchi H., Tanaka H. Fuzzy regression analysis using neural networks. Fuzzy Sets and Systems. 50(3):1992;257-266.
    • (1992) Fuzzy Sets and Systems , vol.50 , Issue.3 , pp. 257-266
    • Ishibuchi, H.1    Tanaka, H.2
  • 10
  • 15
    • 0024680971 scopus 로고
    • Possibilistic linear regression analysis for fuzzy data
    • Tanaka H., Hayashi I., Watada J. Possibilistic linear regression analysis for fuzzy data. Eur. J. Oper. Res. 40(3):1989;389-396.
    • (1989) Eur. J. Oper. Res. , vol.40 , Issue.3 , pp. 389-396
    • Tanaka, H.1    Hayashi, I.2    Watada, J.3
  • 16
    • 0002214570 scopus 로고
    • Possibilistic regression analysis based on linear programming
    • J. Kacprzyk, & M. Fedrizzi. Heidelberg: Physica-Verlag
    • Tanaka H., Ishibuchi H. Possibilistic regression analysis based on linear programming. Kacprzyk J., Fedrizzi M. Fuzzy Regression Analysis. 1992;47-60 Physica-Verlag, Heidelberg.
    • (1992) Fuzzy Regression Analysis , pp. 47-60
    • Tanaka, H.1    Ishibuchi, H.2
  • 17
    • 85006977709 scopus 로고
    • Seung Gook Hwang, Fuzzy model of the number of staff in local government by fuzzy regression analysis with similarity relations
    • (in Japanese)
    • Tanaka H., Ishibuchi H. Seung Gook Hwang, Fuzzy model of the number of staff in local government by fuzzy regression analysis with similarity relations. J. Jpn. Indust. Management Assoc. 41(2):1990;99-104. (in Japanese).
    • (1990) J. Jpn. Indust. Management Assoc. , vol.41 , Issue.2 , pp. 99-104
    • Tanaka, H.1    Ishibuchi, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.