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A Value Efficiency Approach to Incorporating Preference Information in Data Envelopment Analysis

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Author Info

  • Merja Halme

    (Helsinki School of Economics and Business Administration, Department of Economics and Management Science, Runeberginkatu 14--16, 00100 Helsinki, Finland)

  • Tarja Joro

    (Helsinki School of Economics and Business Administration, Department of Economics and Management Science, Runeberginkatu 14--16, 00100 Helsinki, Finland)

  • Pekka Korhonen

    (Helsinki School of Economics and Business Administration, Department of Economics and Management Science, Runeberginkatu 14--16, 00100 Helsinki, Finland)

  • Seppo Salo

    (Helsinki School of Economics and Business Administration, Department of Economics and Management Science, Runeberginkatu 14--16, 00100 Helsinki, Finland)

  • Jyrki Wallenius

    (Helsinki School of Economics and Business Administration, Department of Economics and Management Science, Runeberginkatu 14--16, 00100 Helsinki, Finland)

Abstract

We develop a procedure and the requisite theory for incorporating preference information in a novel way in the efficiency analysis of Decision Making Units. The efficiency of Decision Making Units is defined in the spirit of Data Envelopment Analysis (DEA), complemented with Decision Maker's preference information concerning the desirable structure of inputs and outputs. Our procedure begins by aiding the Decision Maker in searching for the most preferred combination of inputs and outputs of Decision Making Units (for short, Most Preferred Solution) which are efficient in DEA. Then, assuming that the Decision Maker's Most Preferred Solution maximizes his/her underlying (unknown) value function, we approximate the indifference contour of the value function at this point with its possible tangent hyperplanes. Value Efficiency scores are then calculated for each Decision Making Unit comparing the inefficient units to units having the same value as the Most Preferred Solution. The resulting Value Efficiency scores are optimistic approximations of the true scores. The procedure and the resulting efficiency scores are immediately applicable to solving practical problems.

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File URL: http://dx.doi.org/10.1287/mnsc.45.1.103
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Bibliographic Info

Article provided by INFORMS in its journal Management Science.

Volume (Year): 45 (1999)
Issue (Month): 1 (January)
Pages: 103-115

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Handle: RePEc:inm:ormnsc:v:45:y:1999:i:1:p:103-115

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Related research

Keywords: efficiency analysis; data envelopment analysis; multiple criteria decision making; value function;

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