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...
| Auteurs principaux: | , , , , , , |
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| Format: | Article |
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Taylor & Francis Group
2017
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