Evaluating decision-making units under uncertainty using fuzzy multi-objective nonlinear programming

Abstract

This paper proposes a new method to evaluate Decision Making Units (DMUs) under uncertainty using fuzzy Data Envelopment Analysis (DEA). In the proposed multi-objective nonlinear programming methodology both the objective functions and the constraints are considered fuzzy. The coefficients of the decision variables in the objective functions and in the constraints, as well as the DMUs under assessment are assumed to be fuzzy numbers with triangular membership functions. A comparison between the current fuzzy DEA models and the proposed method is illustrated by a numerical example.

Publication DOI: https://doi.org/10.1080/03155986.2016.1240944
Divisions: Aston Business School > Operations & Information Management
Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis in INFOR on 14/10/16, available online: http://www.tandfonline.com/10.1080/03155986.2016.1240944
Uncontrolled Keywords: fuzzy DEA,fuzzy multiobjective linear programming,membership function,possibility programming,Signal Processing,Information Systems,Computer Science Applications
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2017-01
Published Online Date: 2016-10-14
Accepted Date: 2016-09-21
Submitted Date: 2015-09-01
Authors: Langroudi Zerafat Angiz, Madjid
Nawawi, Mohd Kamal Mohd
Khalid, Ruzelan
Mustafa, Adli
Emrouznejad, Ali (ORCID Profile 0000-0001-8094-4244)
John, Robert
Kendall, Graham

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Version: Accepted Version


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