Algorithms for MAGDM with intuitionistic fuzzy sets and their application for evaluating the green technological innovation ability of the enterprises

Article type: Research Article

Authors: Bao, Jun^{; *}

Affiliations: School of Tourism, Huangshan University, Huangshan, China

Correspondence: [*] Corresponding author. Jun Bao, School of Tourism, Huangshan University, Huangshan, China. E-mail: baojun@hsu.edu.cn.

Abstract: The dual generalized Bonferroni mean (DGBM) operator is a meaningful decision-making tool which can consider the relationship between any numbers of being fused arguments and has been applied to many MAGDM domains in past few years. The intuitionistic fuzzy sets (IFSs), which is characterized by the functions of membership degree and non-membership degree, has been investigated by numerous scholars. In this manuscript, combine the DGBM operator and IFSs, the major contribution and objective of the work is to develop two new aggregation operators: the dual generalized intuitionistic fuzzy BM (DGIFBM) operator and the dual generalized intuitionistic fuzzy weighted BM (DGIFWBM) operator. The last, we give an application example for evaluating the green technological innovation ability of the enterprises and some comparative analysis to testify the effective and scientific of our developed methods.

Keywords: Multiple attribute group decision making (MAGDM), intuitionistic fuzzy sets (IFSs), DGBM operator, DGIFBM operator, DGIFWBM operator, green technological innovation ability of the enterprises

DOI: 10.3233/JIFS-202194

Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 5, pp. 9687-9707, 2021