A PCA-based fuzzy tensor evaluation model for multiple-criteria group decision making

Multiple-criteria group decision-making (MCGDM) problems mainly consist of multiple factors and multiple Decision Makers (DMs) or Users, for which dimension extension is necessary when considering all the entries of DMs together. Tensor, a generalized form of a matrix, displays a multi-way array ite...

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Veröffentlicht in:	Applied soft computing Jg. 132; S. 109753
Hauptverfasser:	Singh, Meenu, Pant, Millie, Kong, Lingping, Alijani, Zahra, Snášel, Václav
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2023
Schlagworte:	Fuzzy tensor Group decision making High-dimensional data Interval-valued neutrosophic numbers Multiple-attribute decision making Principal Component Analysis High-dimensional data Group decision making Multiple-attribute decision making Principal Component Analysis Interval-valued neutrosophic numbers Fuzzy tensor
ISSN:	1568-4946
Online-Zugang:	Volltext
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