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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Expert systems with applications Ročník 50; s. 9 - 16
Hlavní autori:	Ban, Olimpia I., Ban, Adrian I., Tuşe, Delia A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.05.2016
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!