Abstract
•We study consensus reaching process for large-scale group decision making (LSGDM).•We develop a clustering method for LSGDM based on information entropy theory.•We propose a weights-determined method to get three kinds of weights information.•We establish a LSGDM model, which can be used to deal with LSGDM step by step.•A case study is set up to deal with a practical LSGDM problems.
Large-scale group decision making (LSGDM) or complex group decision making (GDM) problems are very commonly encountered in actual life, especially in the era of data. At present, double hierarchy hesitant fuzzy linguistic term set is a reasonable linguistic expression when describing some complex linguistic preference information. In this paper, we develop a consensus reaching process for LSGDM with double hierarchy hesitant fuzzy linguistic preference relations. To ensure the implementation of consensus reaching process, we also propose the similarity degree-based clustering method, the double hierarchy information entropy-based weights-determining method and the consensus measures. Finally, we apply our model to deal with a practical problem that is to evaluate Sichuan water resource management and make some comparisons with the existing approaches.
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