Fuzzy clustering and consensus methods: an application to the analysis of Italian banks

Maria Adele Milioli

Applied Stochastic Models in Business and Industry, 1999, vol. 15, issue 4, 379-385

Abstract: This paper deals with the problem of aggregating different partitions of a set of units, in order to obtain an overall classification summarizing the aspects considered in each partition. We consider a new method of fuzzy clustering and the consensus of classifications, and we compare the two approaches in a theoretical and applicative framework. The previous methods are applied in a research about the features of the most important Italian banks using a set of 8 indicators. Copyright © 1999 John Wiley & Sons, Ltd.

Date: 1999
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https://doi.org/10.1002/(SICI)1526-4025(199910/12)15:43.0.CO;2-K

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Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmbi:v:15:y:1999:i:4:p:379-385

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