Paper Info
Title
A Fuzzy Ranking Approach to Data Envelopment Analysis
Abstract
One problem with data envelopment analysis (DEA), a prominent evaluation method in social sciences, is its low discriminating power when evaluated units are insufficient or inputs and outputs are too many relative to the number of units. To deal with this problem, we incorporate fuzzy set theory with classical DEA so that a broader aspect of evaluation could be taken into account. We propose a method to encapsulate the efficiencies of an unit in different aspects as a fuzzy efficiency. A fuzzy efficiency is further compared with other fuzzy efficiencies to determine its strength and weakness based on extended fuzzy preference relation. With the strength and weakness of an unit, we aggregate them into a total performance index so that a complete ranking of units is obtained. The method proposed in this paper demonstrates a high discrimination in DEA applications compared to classical DEA.
Year
DOI
Venue
2007
10.1007/978-3-540-74827-4_160
KES (2)
Keywords
Field
DocType
different aspect,classical dea,complete ranking,fuzzy set theory,dea application,extended fuzzy preference relation,prominent evaluation method,broader aspect,data envelopment analysis,fuzzy ranking approach,fuzzy efficiency,performance index,social science,data envelope analysis
Data mining,Fuzzy classification,Ranking,Defuzzification,Fuzzy set operations,Computer science,Fuzzy logic,Fuzzy set,Data envelopment analysis,Strengths and weaknesses
Conference
Volume
ISSN
Citations 
4693
0302-9743
0
PageRank 
References 
Authors
0.34
10
3
Name
Order
Citations
PageRank
Hsuan-shih Lee153536.35
peidi shen218919.64
Wen-li Chyr3142.38