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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
Taylor & Francis
2016
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/37045/ |