Data envelopment analysis (DEA) is a method of evaluating relative efficiencies for a group of similar units based on an efficiency concept. In DEA, the same ...
Oct 22, 2024 · Kahraman and Tolga (1998) proposed a fuzzy mathematical programming by assuming that the values of inputs and outputs in DEA are not known with ...
Data envelopment analysis. (DEA) is a method of evaluating relative efJiciencies for a group of similar units based on an eficiency concept. In. DEA, the same ...
Fuzzy data envelopment analysis (DEA): Model and ranking method
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This paper attempts to extend the traditional DEA models to a fuzzy framework, thus producing a fuzzy DEA model based on credibility measure.
We present a data envelopment analysis approach for determining ranking indices among failure modes in which the typical FMEA parameters are modeled as fuzzy ...
Oct 27, 2020 · Data envelopment analysis (DEA) is a prominent technique for evaluating relative efficiency of a set of entities called decision making ...
Assuming that the values of inputs and outputs in DEA are nor known with certainty, a fuzzy mathematical programming is proposed, where the objective ...
The objective of this dissertation is to develop solution approaches for solving fuzzy DEA models. Two main approaches are proposed, a possibility approach and ...
Abstract Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision making units (DMUs) that use multiple.
Nov 21, 2024 · Fuzzy theory is one of the ways of considering uncertainty in the mathematical programming problems. In this study by using this idea, the DEA ...