Title: Developing a multi-objective BCC model in grey environment

Authors: Alireza Alinezhad; Hossein Kakavand; Abolfazl Kazemi; Mahsa Oroojeni Mohammad Javad

Addresses: Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran ' Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran ' Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran ' Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115, USA

Abstract: Data envelopment analysis (DEA) classic models suppose that the data for all inputs and outputs are accurate and determinate and DEA classic model has not defined for inaccurate and indeterminate data. But in the real world, most of the time, there are varieties of uncertainty in the models including interval, fuzzy, grey and probable. In this paper, a DEA multi-objective model is suggested in the grey environment for finding the common weights for decision-making units and computing the privilege of DMUs efficiency for the purpose of more accurate ranking. Finally, in order to assess the results, an example is offered for comparing DMUs ranking via DEA classic models and the presented model.

Keywords: data envelopment analysis; DEA; efficiency; multiobjective decision making; grey systems theory; modelling; DMU ranking; decision making units; DMU efficiency.

DOI: 10.1504/IJMOM.2015.069246

International Journal of Modelling in Operations Management, 2015 Vol.5 No.1, pp.72 - 82

Received: 08 Nov 2014
Accepted: 18 Feb 2015
Published online: 05 May 2015 *

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