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A new method for ranking of fuzzy decision making units by FPR/DEA method
data envelopment analysis multi-attribute decision-making
2010/11/1
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...
Ranking decision making units in fuzzy-DEA using entropy
DEA Maximum entropy Ranking Weighting function
2010/9/10
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...
Efficiency measurement of multi-component decision making units using data envelopment analysis
Data envelopment analysis Decision making unit
2010/9/17
Ordinary DEA models, such as the CCR and BCC models, are not able to measure the efficiency of multi-component decision making units. In management science, there is a need for methods that are capabl...
A new method for complex decision making based on TOPSIS for complex decision making problems with fuzzy data
TOPSIS Fuzzy number Ranking Fuzzy distance
2010/9/16
The aim of this paper is to extend the TOPSIS method for decisionmaking problems with Fuzzy data. By this extension of TOPSIS method,an algorithm for determining the most preferable choice among all p...
Selection of an eligible benchmark for interval decision making units with input contraction
Data envelopment Analysis Input Contraction Interval Data
2010/9/15
This paper offers an extension of obtaining an eligible benchmark using the concept of input contraction on interval data. Here, it is worthwhile obtaining most proportionality benchmark, which it wil...
Classification of decision making units with interval data using SBM model
DEA Slacks SBM-efficiency Interval data
2010/9/15
In original data envelopment analysis (DEA) models, the data for all inputs and outputs are known exactly. When some inputs and outputs are unknown decision variables, such as interval data, ordinal d...