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 comprehensi...
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| Vydané v: | INFOR. Information systems and operational research Ročník 55; číslo 1; s. 1 - 15 |
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| Hlavní autori: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Taylor & Francis
01.01.2017
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| ISSN: | 0315-5986, 1916-0615 |
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| 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. 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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| AbstractList | 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. |
| Author | Kendall, Graham Mustafa, Adli John, Robert Nawawi, Mohd Kamal Mohd Khalid, Ruzelan Emrouznejad, Ali Zerafat Angiz, Madjid Langroudi |
| Author_xml | – sequence: 1 givenname: Madjid Langroudi surname: Zerafat Angiz fullname: Zerafat Angiz, Madjid Langroudi organization: School of Quantitative Sciences, Universiti Utara Malaysia – sequence: 2 givenname: Mohd Kamal Mohd orcidid: 0000-0003-4447-9941 surname: Nawawi fullname: Nawawi, Mohd Kamal Mohd email: mdkamal@uum.edu.my organization: School of Quantitative Sciences, Universiti Utara Malaysia – sequence: 3 givenname: Ruzelan surname: Khalid fullname: Khalid, Ruzelan organization: School of Quantitative Sciences, Universiti Utara Malaysia – sequence: 4 givenname: Adli surname: Mustafa fullname: Mustafa, Adli organization: School of Mathematical Sciences, Universiti Sains Malaysia – sequence: 5 givenname: Ali surname: Emrouznejad fullname: Emrouznejad, Ali organization: Aston Business School, Aston University – sequence: 6 givenname: Robert surname: John fullname: John, Robert organization: ASAP Research Group, School of Computer Science, University of Nottingham – sequence: 7 givenname: Graham surname: Kendall fullname: Kendall, Graham organization: School of Computer Science, University of Nottingham Malaysia Campus |
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| Title | Evaluating decision-making units under uncertainty using fuzzy multi-objective nonlinear programming |
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