Ranking banks using K-Means and Grey relational method

Research has been done on evaluating the performance more emphasis either on the technical aspects of the performance evaluation or considers only one aspect of banks such as sales, revenue, etc. This paper presents an empirical investigation to measure the relative efficiency of different banks usi...

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Main Authors: Seyed Abdoreza Tahami Pour Zarandi, Vahid Shahabi, Mohammad Emami, Atefeh Rezaee, Mehdi Hassanloo
Format: Article
Language:English
Published: Growing Science 2014-10-01
Series:Management Science Letters
Subjects:
Online Access:http://www.growingscience.com/msl/msl_2014_274.pdf
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author Seyed Abdoreza Tahami Pour Zarandi
Vahid Shahabi
Mohammad Emami
Atefeh Rezaee
Mehdi Hassanloo
author_facet Seyed Abdoreza Tahami Pour Zarandi
Vahid Shahabi
Mohammad Emami
Atefeh Rezaee
Mehdi Hassanloo
author_sort Seyed Abdoreza Tahami Pour Zarandi
collection DOAJ
description Research has been done on evaluating the performance more emphasis either on the technical aspects of the performance evaluation or considers only one aspect of banks such as sales, revenue, etc. This paper presents an empirical investigation to measure the relative efficiency of different banks using a hybrid of K-means and Grey relational analysis. The study uses eight criteria such as resources, customer satisfaction, etc. for clustering different banks and using Grey relational analysis provides ranking of different branches of a bank named Bank Qarzol Hasane Resalat located in city of Tehran, Iran. The preliminary study has indicated that the proposed model of this paper may capable of providing some promising results.
format Article
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institution DOAJ
issn 1923-2934
1923-9343
language English
publishDate 2014-10-01
publisher Growing Science
record_format Article
series Management Science Letters
spelling doaj-art-702aa7664cff4f7291340d330d51b73a2025-08-20T03:19:15ZengGrowing ScienceManagement Science Letters1923-29341923-93432014-10-014102319232410.5267/j.msl.2014.9.002Ranking banks using K-Means and Grey relational methodSeyed Abdoreza Tahami Pour ZarandiVahid ShahabiMohammad EmamiAtefeh RezaeeMehdi HassanlooResearch has been done on evaluating the performance more emphasis either on the technical aspects of the performance evaluation or considers only one aspect of banks such as sales, revenue, etc. This paper presents an empirical investigation to measure the relative efficiency of different banks using a hybrid of K-means and Grey relational analysis. The study uses eight criteria such as resources, customer satisfaction, etc. for clustering different banks and using Grey relational analysis provides ranking of different branches of a bank named Bank Qarzol Hasane Resalat located in city of Tehran, Iran. The preliminary study has indicated that the proposed model of this paper may capable of providing some promising results.http://www.growingscience.com/msl/msl_2014_274.pdfClusteringK-MeansGrey relationalBanksRanking
spellingShingle Seyed Abdoreza Tahami Pour Zarandi
Vahid Shahabi
Mohammad Emami
Atefeh Rezaee
Mehdi Hassanloo
Ranking banks using K-Means and Grey relational method
Management Science Letters
Clustering
K-Means
Grey relational
Banks
Ranking
title Ranking banks using K-Means and Grey relational method
title_full Ranking banks using K-Means and Grey relational method
title_fullStr Ranking banks using K-Means and Grey relational method
title_full_unstemmed Ranking banks using K-Means and Grey relational method
title_short Ranking banks using K-Means and Grey relational method
title_sort ranking banks using k means and grey relational method
topic Clustering
K-Means
Grey relational
Banks
Ranking
url http://www.growingscience.com/msl/msl_2014_274.pdf
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AT vahidshahabi rankingbanksusingkmeansandgreyrelationalmethod
AT mohammademami rankingbanksusingkmeansandgreyrelationalmethod
AT atefehrezaee rankingbanksusingkmeansandgreyrelationalmethod
AT mehdihassanloo rankingbanksusingkmeansandgreyrelationalmethod