Picture Fuzzy Weighted Distance Measures and their Application to Investment Selection | Zendy

Meiling Liu | Zendy; Shouzhen Zeng | Zendy; Tomas Baleentis | Zendy; Dalia Štreimikienė | Zendy

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Picture Fuzzy Weighted Distance Measures and their Application to Investment Selection

Author(s) -

Meiling Liu,

Shouzhen Zeng,

Tomas Baleentis,

Dalia Štreimikienė

Publication year - 2019

Publication title -

amfiteatru economic

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.335

H-Index - 20

eISSN - 2247-9104

pISSN - 1582-9146

DOI - 10.24818/ea/2019/52/682

Subject(s) - measure (data warehouse) , computer science , selection (genetic algorithm) , fuzzy logic , fuzzy set , data mining , distance measures , set (abstract data type) , artificial intelligence , mathematical optimization , mathematics , programming language

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.

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