Importance–Performance Analysis by Fuzzy C-Means Algorithm

•We propose a method of fuzzy clustering in Importance–Performance Analysis (IPA).•The fuzzy partition of a set of attributes is obtained by Fuzzy C-Means Algorithm.•The results are more suitable for deriving managerial decisions than by the traditional IPA.•We exemplify and compare the results with...

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Veröffentlicht in:	Expert systems with applications Jg. 50; S. 9 - 16
Hauptverfasser:	Ban, Olimpia I., Ban, Adrian I., Tuşe, Delia A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.05.2016
Schlagworte:	Algorithms Crisps Dangerous Economics Expert systems Fuzzy Fuzzy C-Means Algorithm Fuzzy clustering Fuzzy partition Fuzzy sets Importance–Performance Analysis Priorities Prototype Fuzzy partition Fuzzy clustering Prototype Fuzzy C-Means Algorithm Importance–Performance Analysis
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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