Pythagorean Fuzzy Information Aggregation Based on Weighted Induced Operator and Its Application to R&D Projections Selection

Article type: Research Article

Authors: Zeng, Shouzhen¹ | Cao, Chengdong¹ | Deng, Yan¹ | Shen, Xiaodong^{2; *}

Affiliations: [1] School of Business, Ningbo University, Ningbo 315211, China | [2] Zhejiang Economic Information Center, Hangzhou 310006, China. E-mails: [email protected], [email protected], [email protected], [email protected]

Correspondence: [*] Corresponding author.

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.

Keywords: Pythagorean fuzzy set, induced aggregation operator, weighted, MAGDM, R&D projects selection

Journal: Informatica, vol. 29, no. 3, pp. 567-580, 2018