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    Data envelopment analysis with fuzzy parameters: An interactive approach

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    Date
    2013
    Author
    Hatami-Marbini, A.;
    Saati, S.;
    Tavana, M.
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    Abstract
    Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs. In the conventional DEA, all the data assume the form of specific numerical values. However, the observed values of the input and output data in real-life problems are sometimes imprecise or vague. Previous methods have not considered the preferences of the decision makers (DMs) in the evaluation process. This paper proposes an interactive evaluation process for measuring the relative efficiencies of a set of DMUs in fuzzy DEA with consideration of the DMs’ preferences. The authors construct a linear programming (LP) model with fuzzy parameters and calculate the fuzzy efficiency of the DMUs for different a levels. Then, the DM identifies his or her most preferred fuzzy goal for each DMU under consideration. A modified Yager index is used to develop a ranking order of the DMUs. This study allows the DMs to use their preferences or value judgments when evaluating the performance of the DMUs.
    Description
    Citation : Hatami-Marbini, A., Saati, S. and Tavana, M. (2013) Data envelopment analysis with fuzzy parameters: An interactive approach. In: Optimizing, Innovating, and Capitalizing on Information Systems for Operations,
    URI
    http://www.igi-global.com/chapter/data-envelopment-analysis-fuzzy-parameters/74014
    http://hdl.handle.net/2086/13394
    DOI
    https://dx.doi.org/10.4018/978-1-4666-2925-7.ch006
    ISBN : 9781466629257
    Research Institute : Centre for Enterprise and Innovation (CEI)
    Peer Reviewed : Yes
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    • Department of Management and Entrepreneurship [776]

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