Models for multiple attribute decision making with picture fuzzy information

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)1973-1980
Journal / PublicationJournal of Intelligent and Fuzzy Systems
Volume37
Issue number2
Publication statusPublished - 9 Sept 2019
Externally publishedYes

Abstract

In this paper, we investigate the picture fuzzy multiple attribute decision making problems where the information about attribute weights is partly known or completely unknown. We introduce some notions, such as picture fuzzy ideal point, the normalized Hamming distance of picture fuzzy numbers. We also introduce the grey relational coefficient between the attribute value vectors of each alternative and the picture fuzzy ideal point. Then we establish the grey relational analysis models to measure the grey relational degree between each alternative and the picture fuzzy ideal point. Based on the grey relational analysis models, we can rank the given alternatives and then select the most desirable one. Finally, we illustrate the developed grey relational analysis models with a numerical example for potential evaluation of emerging technology commercialization. © 2019 - IOS Press and the authors. All rights reserved.

Research Area(s)

  • included angle, Multiple attribute decision making, picture fuzzy ideal point, picture fuzzy set, projection model

Citation Format(s)

Models for multiple attribute decision making with picture fuzzy information. / Liu, Hui; Wang, Haiou; Yuan, Yixuan et al.
In: Journal of Intelligent and Fuzzy Systems, Vol. 37, No. 2, 09.09.2019, p. 1973-1980.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review