Evaluating decision making units under uncertainty using fuzzy multi-objective nonlinear programming

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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...

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Bibliographic Details
Main Authors:	Zerafat Angiz, M., Nawawi, M.K.M., Khalid, R., Mustafa, A., Emrouznejad, A., John, Robert, Kendall, Graham
Format:	Article
Published:	Taylor & Francis 2016
Subjects:	Fuzzy DEA; membership function; fuzzy multi-objective linear programming; possibility programming
Online Access:	https://eprints.nottingham.ac.uk/37045/

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