A NEW ALGORITHM FOR DEA-BASED CLUSTERING

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ZHIANI REZAI H.; SHEYBANI F.

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Paper Information

Journal: Journal of Operational Research in its Applications Year:2010 | Volume:7 | Issue:2 (25) Page(s): 23-42

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Information Journal Paper

Title

A NEW ALGORITHM FOR DEA-BASED CLUSTERING

Author(s)

ZHIANI REZAI H. | SHEYBANI F. | Issue Writer Certificate

Keywords

DEAQ3

CLUSTERINGQ3

CCR MODELQ3

BCC MODEQ3

PIECEWISE PRODUCTION FUNCTIONSQ3

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.

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APA: Copy

ZHIANI REZAI, H., & SHEYBANI, F.. (2010). A NEW ALGORITHM FOR DEA-BASED CLUSTERING. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), 7(2 (25)), 23-42. SID. https://sid.ir/paper/164455/en

Vancouver: Copy

ZHIANI REZAI H., SHEYBANI F.. A NEW ALGORITHM FOR DEA-BASED CLUSTERING. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS)[Internet]. 2010;7(2 (25)):23-42. Available from: https://sid.ir/paper/164455/en

IEEE: Copy

H. ZHIANI REZAI, and F. SHEYBANI, “A NEW ALGORITHM FOR DEA-BASED CLUSTERING,” JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), vol. 7, no. 2 (25), pp. 23–42, 2010, [Online]. Available: https://sid.ir/paper/164455/en

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