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
フォーマット: 論文
出版事項: Taylor & Francis Group 2017
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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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