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

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. This model is comprehensiv...

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Main Authors: Zerafat Angiz, M., Nawawi, M.K.M., Khalid, R., Mustafa, A., Emrouznejad, A., John, Robert, Kendall, Graham
Format: Article
Published: Taylor & Francis 2016
Subjects:
Online Access:https://eprints.nottingham.ac.uk/37045/
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author Zerafat Angiz, M.
Nawawi, M.K.M.
Khalid, R.
Mustafa, A.
Emrouznejad, A.
John, Robert
Kendall, Graham
author_facet Zerafat Angiz, M.
Nawawi, M.K.M.
Khalid, R.
Mustafa, A.
Emrouznejad, A.
John, Robert
Kendall, Graham
author_sort Zerafat Angiz, M.
building Nottingham Research Data Repository
collection Online Access
description 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. This model is comprehensive in dealing with uncertainty, in the sense that 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.
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spelling nottingham-370452020-05-04T18:17:09Z https://eprints.nottingham.ac.uk/37045/ Evaluating decision making units under uncertainty using fuzzy multi-objective nonlinear programming Zerafat Angiz, M. Nawawi, M.K.M. Khalid, R. Mustafa, A. Emrouznejad, A. John, Robert Kendall, Graham 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. This model is comprehensive in dealing with uncertainty, in the sense that 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. Taylor & Francis 2016-10-14 Article PeerReviewed Zerafat Angiz, M., Nawawi, M.K.M., Khalid, R., Mustafa, A., Emrouznejad, A., John, Robert and Kendall, Graham (2016) Evaluating decision making units under uncertainty using fuzzy multi-objective nonlinear programming. INFOR: Information Systems and Operational Research, 55 (1). ISSN 1916-0615 Fuzzy DEA; membership function; fuzzy multi-objective linear programming; possibility programming http://www.tandfonline.com/doi/abs/10.1080/03155986.2016.1240944?journalCode=tinf20 doi:10.1080/03155986.2016.1240944 doi:10.1080/03155986.2016.1240944
spellingShingle Fuzzy DEA; membership function; fuzzy multi-objective linear programming; possibility programming
Zerafat Angiz, M.
Nawawi, M.K.M.
Khalid, R.
Mustafa, A.
Emrouznejad, A.
John, Robert
Kendall, Graham
Evaluating decision making units under uncertainty using fuzzy multi-objective nonlinear programming
title Evaluating decision making units under uncertainty using fuzzy multi-objective nonlinear programming
title_full Evaluating decision making units under uncertainty using fuzzy multi-objective nonlinear programming
title_fullStr Evaluating decision making units under uncertainty using fuzzy multi-objective nonlinear programming
title_full_unstemmed Evaluating decision making units under uncertainty using fuzzy multi-objective nonlinear programming
title_short Evaluating decision making units under uncertainty using fuzzy multi-objective nonlinear programming
title_sort evaluating decision making units under uncertainty using fuzzy multi-objective nonlinear programming
topic Fuzzy DEA; membership function; fuzzy multi-objective linear programming; possibility programming
url https://eprints.nottingham.ac.uk/37045/
https://eprints.nottingham.ac.uk/37045/
https://eprints.nottingham.ac.uk/37045/