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    Efficiency measurement in fuzzy additive data envelopment analysis

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    Date
    2012
    Author
    Hatami-Marbini, A.;
    Tavana, M.;
    Emrouznejad, A.;
    Saati, S.
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    Abstract
    Performance evaluation in conventional data envelopment analysis (DEA) requires crisp numerical values. However, the observed values of the input and output data in real-world problems are often imprecise or vague. These imprecise and vague data can be represented by linguistic terms characterised by fuzzy numbers in DEA to reflect the decision-makers’ intuition and subjective judgements. This paper extends the conventional DEA models to a fuzzy framework by proposing a new fuzzy additive DEA model for evaluating the efficiency of a set of decision-making units (DMUs) with fuzzy inputs and outputs. The contribution of this paper is threefold: (1) we consider ambiguous, uncertain and imprecise input and output data in DEA, (2) we propose a new fuzzy additive DEA model derived from the α -level approach and (3) we demonstrate the practical aspects of our model with two numerical examples and show its comparability with five different fuzzy DEA methods in the literature.
    Description
    Citation : Hatami-Marbini, A., Tavana, M., Emrouznejad, A. and Saati, S. (2012) Efficiency measurement in fuzzy additive data envelopment analysis. International Journal of Industrial and Systems Engineering (IJISE), 10 (1)
    URI
    http://hdl.handle.net/2086/13382
    DOI
    http://dx.doi.org/10.1504/IJISE.2012.044041
    Research Institute : Centre for Enterprise and Innovation (CEI)
    Peer Reviewed : Yes
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