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Volumn 168, Issue 3, 2006, Pages 1019-1029

Characterizing solutions of rough programming problems

Author keywords

Mathematical programming problem; Optimal solution; Rough set; Saddle point

Indexed keywords

DECISION THEORY; PROBLEM SOLVING; ROUGH SET THEORY;

EID: 25144487845     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2004.05.019     Document Type: Conference Paper
Times cited : (35)

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  • 3
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    • (1986) Bulletin of PAS , vol.34 , pp. 227-246
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  • 4
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    • Fuzzy rough sets versus rough fuzzy sets - An interpretation and a comparative study using concepts of modal logics
    • 9-11 September, Aachen, Germany
    • T. Helmut, Fuzzy rough sets versus rough fuzzy sets - an interpretation and a comparative study using concepts of modal logics, in: Proceedings of the 5th European Congress on Intelligent Techniques and Soft Computing (EUFIT 97) 9-11 September, Aachen, Germany, 1997, pp. 159-167.
    • (1997) Proceedings of the 5th European Congress on Intelligent Techniques and Soft Computing (EUFIT 97) , pp. 159-167
    • Helmut, T.1
  • 5
    • 77958540912 scopus 로고    scopus 로고
    • On the structure of rough approximations
    • Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
    • J. Jarvinen, On the structure of rough approximations, in: Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing, LNAI 2475, 2002, pp. 123-130.
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    • Jarvinen, J.1
  • 7
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    • Neighborhood systems - A qualitative theory for fuzzy and rough sets
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    • T.Y. Lin, Neighborhood systems - a qualitative theory for fuzzy and rough sets, in: P. Wang (Ed.), Advances in Machine Intelligence and Soft Computing, vol. 4, 1997, pp. 132-155.
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    • Lin, T.Y.1
  • 11
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    • Z. Pawlak Rough Sets 1991 Kluwer Academic Publishers Dordrecht
    • (1991) Rough Sets
    • Pawlak, Z.1
  • 13
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    • Combining rough sets and data-driven fuzzy learning for generation of classification rules
    • S. Qiang, and C. Alexios Combining rough sets and data-driven fuzzy learning for generation of classification rules Pattern Recognition 32 1999 2073 2076
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.