Affiliations: [a]
School of Management, China University of Mining & Technology, Xuzhou, Jiangsu, China
| [b]
School of Economic and Management, Guangxi Normal University, Guilin, Guangxi, China
| [c]
School of Business, Guilin University of Electronic Technology, Guilin, Guangxi, China
Correspondence:
[*]
Corresponding author. Tao Lv, School of Management, China University of Mining & Technology, Xuzhou, Jiangsu, 221116, China. Tel./Fax: +86 13813461296; E-mail: [email protected].
Abstract: The evaluation of the customer satisfaction of “Door-to-Door” whole-process logistic service refers to a multiple attribute decision making problem. In this paper, we study on the multiple attribute decision making using interval-valued intuitionistic fuzzy numbers. Inspired by the idea of dependent aggregation, we design the dependent interval-valued intuitionistic fuzzy Hamacher weighted geometric (DIVIFHWG) operator, where the associated weights rely on the aggregated interval-valued intuitionistic fuzzy arguments and can lower the influence of unfair interval-valued intuitionistic fuzzy arguments on the aggregated results via allocating low weights to “false” and “biased” ones and then utilized these elements to design some methods for multiple attribute decision making with interval-valued intuitionistic fuzzy numbers. In the end, an example to evaluate the customer satisfaction of “Door-to-Door” whole-process logistic service is provided to test the proposed algorithm.
