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Volumn 28, Issue 6, 1998, Pages 757-769

Full reinforcement operators in aggregation techniques

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY SETS; LEARNING SYSTEMS; MATHEMATICAL MODELS; MATHEMATICAL OPERATORS;

EID: 0032295803     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/3477.735386     Document Type: Article
Times cited : (77)

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    • A general concept of fuzzy connectives, negations and implications based on t-norms
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  • 9
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    • On inference structures for fuzzy systems modeling
    • Orlando, FL
    • _, "On inference structures for fuzzy systems modeling," in Proc. 3rd IEEE Int. Conf Fuzzy Systems, Orlando, FL, 1994, pp. 1252-1256.
    • (1994) Proc. 3rd IEEE Int. Conf Fuzzy Systems , pp. 1252-1256
  • 10
    • 0000782825 scopus 로고
    • Aggregation operators and fuzzy systems modeling
    • _, "Aggregation operators and fuzzy systems modeling," Fuzzy Sets Syst., vol. 67, pp. 129-146, 1994.
    • (1994) Fuzzy Sets Syst. , vol.67 , pp. 129-146
  • 12
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    • Uninorm aggregation operators
    • R. R. Yager and A. Rybalov, "Uninorm aggregation operators," Fuzzy Sets Syst., vol. 80, pp. 111-120, 1996.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.