Affiliations: School of Business Administration, Zhejiang Gongshang University, Hangzhou, China | School of Basic Science, Tianjin Agricultural University, Tianjin, China | College of Computer and Information, Zhejiang Wanli University, Ningbo, China | Center for Applied Statistics, Renmin University of China, Beijing, China
Abstract: In this paper, we develop a new method for Atanassov's intuitionistic fuzzy decision making problems. We present the Atanassov's intuitionistic fuzzy probabilistic ordered weighted distance (IFPOWD) operator. Its main advantage is that it uses distance measures in a unified framework between the probability and the OWA operator that considers the degree of importance of each concept in the aggregation. Moreover, it is able to deal with uncertain environments represented in the form of Atanassov's intuitionistic fuzzy information. We analyze the applicability of this new approach in a group decision making problem concerning selection of investments.
