A group decision support model based on incomplete hesitant fuzzy linguistic preference relations for mine disaster rescue
Owing to the uncertainty and complexity of decision-making environments, it is more suitable for decision makers (DMs) to express their preferences by means of hesitant fuzzy linguistic preference relation (HFLPR). Furthermore, incomplete assessments usually exist in complex decision-making problems because DMs lack knowledge related to the problem domain. This paper proposes a group decision-making (GDM) model based on incomplete HFLPRs. First, we review the additive consistency of HFLPR and introduce the concept of incomplete HFLPR. Second, two proposals are developed to supplement the missing elements of incomplete HFLPR. Third, an HFLPR is improved and developed into an additive HFLPR to obtain a rational result. Moreover, a consensus-reaching process is established to solve a GDM on the basis of the obtained consistent HFLPRs. Finally, to demonstrate the effectiveness of the results, the proposed model is applied to a mining disaster rescue attempt.
KeywordsIncomplete hesitant fuzzy linguistic preference relation Additive consistency Consensus-reaching process Group decision-making Mining disaster rescue
The authors would like to thank the Editor-in-Chief, Associate Editor and anonymous reviewers for their insightful and constructive commendations that have led to this improved version of the paper. This research was supported in part by grants from the National Social Science Foundation of China (#16BGL181) and the Natural Science Foundation of Shandong Province (ZR201702130105).
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