Artikel
Picture fuzzy weighted distance measures and their application to investment selection
The picture fuzzy set (PFS) is a powerful tool to collect and handle large amounts of uncertain assess information in a new light. In this study, we explore some distance measures for the PFSs and propose Picture fuzzy ordered weighted distance measure and Picture fuzzy hybrid weighted distance measure. Some of their properties are also mathematically explored. Moreover, we introduce a model for the aforesaid distance measures to solve multiple attribute group decision making (MAGDM) method in an updated way. And at the end of our paper a practical application of investment alternatives selection is provided to illustrate the validity and applicability of the presented work.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Amfiteatru Economic Journal ; ISSN: 2247-9104 ; Volume: 21 ; Year: 2019 ; Issue: 52 ; Pages: 682-695
- Klassifikation
-
Wirtschaft
Relation of Economics to Other Disciplines
Operations Research; Statistical Decision Theory
Mathematical Methods; Programming Models; Mathematical and Simulation Modeling: General
Criteria for Decision-Making under Risk and Uncertainty
Information and Uncertainty: Other
- Thema
-
Picture fuzzy set
distance measures
ordered weighted distance
multiple attribute group decision making
investment selection
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Liu, Meiling
Zeng, Shouzhen
Baležentis, Tomas
Štreimikienė, Dalia
- Ereignis
-
Veröffentlichung
- (wer)
-
The Bucharest University of Economic Studies
- (wo)
-
Bucharest
- (wann)
-
2019
- DOI
-
doi:10.24818/EA/2019/52/682
- Handle
- Letzte Aktualisierung
- 10.03.2025, 11:41 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Liu, Meiling
- Zeng, Shouzhen
- Baležentis, Tomas
- Štreimikienė, Dalia
- The Bucharest University of Economic Studies
Entstanden
- 2019
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