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 comprehensive...
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主要な著者: | Zerafat Angiz, Madjid Langroudi, Mohd Nawawi, Mohd Kamal, Khalid, Ruzelan, Mustafa, Adli, Emrouznejad, Ali, John, Robert, Kendall, Graham |
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フォーマット: | 論文 |
出版事項: |
Taylor & Francis Group
2017
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主題: | |
オンライン・アクセス: | http://repo.uum.edu.my/21583/ http://doi.org/10.1080/03155986.2016.1240944 |
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