Paper Info
Title
Pythagorean Fuzzy Information Aggregation Based On Weighted Induced Operator And Its Application To R&D Projections Selection
Abstract
In this paper, by unifying the dual roles of order-inducing variables, a PF weighted induced generalized weighted averaging (PFWIGOWA) operator is presented to facilitate the PF information. The key feature of the proposed operator is that it can improve the existing aggregation operators by the dual roles of its order-inducing variables. In addition, the PFWIGOWA's desirable properties and different families are also discussed. Furthermore, an approach based on the developed operator is presented for solving multi-attribute group decision making (MAGDM) problems with PF information. Finally, the usefulness of the proposed method is illustrated in a research and development (R&D) projects selection problem.
Year
DOI
Venue
2018
10.15388/Informatica.2018.182
INFORMATICA
Keywords
Field
DocType
Pythagorean fuzzy set, induced aggregation operator, weighted, MAGDM, R&D projects selection
Mathematical optimization,Computer science,Fuzzy logic,Algorithm,Operator (computer programming),Information aggregation,Pythagorean theorem
Journal
Volume
Issue
ISSN
29
3
0868-4952
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Shouzhen Zeng142021.24
Chengdong Cao200.68
Yan Deng33813.35
Xiaodong Shen4869.75