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Volumn 38, Issue 1, 2007, Pages 61-80

Regularized estimation for preference disaggregation in multiple criteria decision making

Author keywords

Linear programming; Multiple criteria decision making; Preference disaggregation; Regularization

Indexed keywords

CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS; LINEAR PROGRAMMING; STATISTICAL METHODS;

EID: 34547604814     PISSN: 09266003     EISSN: 15732894     Source Type: Journal    
DOI: 10.1007/s10589-007-9037-9     Document Type: Conference Paper
Times cited : (31)

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    • Assessing a set of additive utility functions for multicriteria decision making: The UTA method
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    • The effective number of parameters: An analysis of generalization and regularization in nonlinear learning systems
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    • Moody, J.E.: The effective number of parameters: An analysis of generalization and regularization in nonlinear learning systems. In: Moody, J.E., Hanson, S.J., Lippmann, R.P. (eds.) Advances in Neural Information Processing Systems, pp. 847-854. MIT, Cambridge (1992)
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    • Mousseau, V., Figueira, J., Naux, J.Ph.: Using assignment examples to infer weights for ELECTRE TRI method: Some experimental results. Eur. J. Oper. Res. 130(2), 263-275 (2001)
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    • Mousseau, V.1    Figueira, J.2    Naux, J.Ph.3
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    • Multicriteria classification and sorting methods: A literature review
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.