Title: A novel hybrid approach based on fuzzy DEA-AHP

Authors: Ramezan Nemati Keshteli; Owais Torabi; Eesa Mahmoudi; Hassan Ghasemi

Addresses: Faculty of Engineering – East Guilan, University of Guilan, Rasht, Iran ' Department of Noor, Iran University of Science and Technology, Tehran, Iran ' Department of Noor, Iran University of Science and Technology, Tehran, Iran ' Department of Noor, Iran University of Science and Technology, Tehran, Iran

Abstract: The data envelopment analysis (DEA) model is a non-parametric programming technique that helps to efficiency evaluating for every decision making units (DMUs) with multiple inputs and multiple outputs. In traditional DEA model, we need crisp data. But in the real world, most of the data are imprecise and uncertain. A major cause of uncertainty related to the non-quantifiable, incomplete and unachievable information. For this reason, fuzzy logic and fuzzy sets developed in different models of DEA. In this paper, a new hybrid model is developed for performance evaluation problems ranking of DMUs, with multiple inputs and fuzzy outputs. To achieve the best ranking of DMUs, fuzzy analytical hierarchy process (FAHP) is applied. Solving FAHP ends up in a full ranking of DMUs. Finally, to illustrate the proposed model an example is presented.

Keywords: fuzzy data envelopment analysis; FDEA; efficiency analysis; fuzzy analytical hierarchy process; FAHP.

DOI: 10.1504/IJISE.2018.091431

International Journal of Industrial and Systems Engineering, 2018 Vol.29 No.1, pp.19 - 30

Received: 15 Mar 2016
Accepted: 10 May 2016
Published online: 01 May 2018 *

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