Managing manipulation behavior in hydrogen refueling station planning by a large group decision making method with hesitant fuzzy linguistic information

The selection decision of the hydrogen refueling station construction plan involves professional knowledge in various aspects such as security management, energy storage, and environmental analysis, which requires numerous decision-makers (DMs) from different fields to participate in discussions. In real-world large group decision-making (LGDM), DMs exhibit manipulation behavior for individual interests, which is not conducive to achieving consensus and fairness of decision-making results. Consequently, this article focuses on the management of manipulation behavior and consensus feedback in LGDM with hesitant fuzzy linguistic information. Firstly, to better characterize the hesitation of DMs in the evaluation process, this article improves the primary measurement method of the hesitant fuzzy linguistic term set. Besides, to quantify the degree of manipulation by DMs, an improved manipulation function and anti-manipulation weight function are defined to manage this behavior. Furthermore, a novel consensus feedback mechanism is constructed, combining the optimization model and the trust relationship-based opinion dynamics. Finally, the performance of our proposal is explained through a practical case. And the sensitivity and comparative analyses are provided to explore the impact of manipulation behavior and the merits of our proposal.