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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.

Keywords

Interval-valued intuitionistic fuzzy numbers operational laws dependent interval-valued intuitionistic fuzzy Hamacher weighted geometric (DIVIFHWG) operator customer satisfaction whole-process logistic service

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Evaluation of customer satisfaction of “Door-to-Door” whole-process logistic service with interval-valued intuitionistic fuzzy information

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