Paper Information

Journal:   JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS)   SUMMER 2010 , Volume 7 , Number 2 (25); Page(s) 23 To 42.
 
Paper: 

A NEW ALGORITHM FOR DEA-BASED CLUSTERING

 
Author(s):  ZHIANI REZAI H., SHEYBANI F.*
 
* DEPARTMENTS OF MATHEMATICS, ISLAMIC AZAD UNIVERSITY, MASHHAD BRANCH,IRAN
 
Abstract: 
A new clustering approach has been recently proposed by Guh et al. in [13] that use data envelopment analysis to cluster a data set. This approach uses the piecewise production functions derived from the DEA method to cluster the data with input and output items. But their alternative algorithm has a practical difficulty because of alternative optimal solutions of DEA models. So, in this paper, the algorithm’s problem will be illustrated and a new algorithm will be suggested to conduct a DEA- based clustering for a group of data, correctly.
 
Keyword(s): DEA, CLUSTERING, CCR MODEL, BCC MODE, PIECEWISE PRODUCTION FUNCTIONS
 
References: 
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