Abstract
In this paper a surrogate to traditional utility optimization is presented. This approach is based on multiple criteria decision making techniques through a theorem which connects utility function optimization with compromise programming. Apart from common assumptions in the literature the only specific assumption underlying the approach seems realistic, and is markedly related to traditional analysis.
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References
Ballestero, E and Romero, C.: 1991, ‘A theorem connecting utility function optimization and compromise programming’,Operations Research Letters 10, 421–427.
Lancaster, K.: 1966, ‘A new approach to consumer theory’,Journal of Political Economy 74, 132–157.
Lancaster, K.: 1991,Modern Consumer Theory, Edward Elgar, Aldershot.
Romero, C.: 1991,Handbook of Critical Issues in Goal Programming, Oxford, Pergamon Press.
Yu, P.L.: 1973, ‘A class of solutions for group decision problems’,Management Science 19, 936–946.
Yu, P.L.: 1985,Multiple-Criteria Decision Making. Concepts, Techniques, and Extensions, New York, Plenum Press.
Zeleny, M.: 1973, ‘Compromise programming’, in J.L. Cochrane and M. Zeleny (Eds.),Multiple Criteria Decision Making, Columbia, University of South Carolina Press, pp. 262–301.
Zeleny, M.: 1974, ‘A concept of compromise solutions and the method of the displaced ideal’,Computers & Operations Research 1, 479–496.
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Ballestero, E., Romero, C. Utility optimization when the utility function is virtually unknown. Theor Decis 37, 233–243 (1994). https://doi.org/10.1007/BF01079267
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DOI: https://doi.org/10.1007/BF01079267