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The goal of multi-attribute decision-making problems is the ranking of units. In real world, we usually deal with in inexact data. So, there are various ways for ranking of decision making units in fu...
Data Envelopment Analysis (DEA) can be regarded as a useful management tool to the assessment evaluation of decision making units (DMUs) using multiple inputs to produce multiple outputs. In some case...
A methodology based on the algorithmic complexity theory has been applied to assess the relative efficiency of the stocks listed on Bovespa. We provide eight alternative listings of the top ten stocks...
Data envelopment analysis (DEA) defines relative efficiency of decision making units (DMUs), using mathmatical programming. In evaluating relative efficiency, usually more than one unit may be efficie...
The modeling and solving the optimization problem is one of the most important daily problem.By notation the nature of data in practice which are imprecise, fully fuzzy linear programming problem (FFL...
If the inputs and outputs are fuzzy numbers, the DMUs cannot be easily evaluated and ranked using the obtained efficiency scores. In this paper, a new idea based on interactive method for ranking of D...
Abilities, Commitment and Capacity of learning in manpower play a key role for increment of the power stations efficiency. With due to the evolutions in electricity industry there is evolutions need t...
Data envelopment analysis is a widely applied approach for measuring the relative efficiency of a set of decision making units (DMUs) which use multiple inputs and multiple outputs. The DEA- based mal...

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