A Group Decision Making Approach Considering Self-Confidence Behaviors and Its Application in Environmental Pollution Emergency Management
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Group decision makingSelf-confidenceDecision weightEnvironmental pollution emergency managementScore function
Liu, X., Xu, Y., Ge, Y., Zhang, W., & Herrera, F. (2019). A group decision making approach considering self-confidence behaviors and its application in environmental pollution emergency management. International journal of environmental research and public health, 16(3), 385.
SponsorshipThe work was supported by National Key R&D Program of China (Grant No. 2017YFC0404600), National Natural Science Foundation of China (NSFC) under Grants (71871085, 71471056), Qing Lan Project of Jiangsu Province. Additionally, Xia Liu andWeike Zhang gratefully acknowledge the financial support of the China Scholarship Council (Nos. 201706710084, 201806240231).
Self-confidence as one of the human psychological behaviors has important influence on emergency management decision making, which has been ignored in existing methods. To fill this gap, we dedicate to design a group decision making approach considering self-confidence behaviors and apply it to the environmental pollution emergency management. In the proposed method, the self-confident fuzzy preference relations are utilized to express experts’ evaluations. This new type of preference relations allow experts to express multiple self-confidence levels when providing their evaluations, which can deal with the self-confidence of them well. To apply the proposed group decision making method to environmental pollution emergency management, a novel determination of the decision weights of experts is given combining the subjective and objective weights. The subjective weight can be directly assigned by organizer, while the objective weight is determined by the self-confidence degree of experts on their evaluations. Afterwards, by utilizing the weighted averaging operator, the individuals’ evaluations can be aggregated into a collective one. To do that, some operational laws for self-confident fuzzy preference relations are introduced. And then, a self-confidence score function is designed to get the best solution for environmental pollution emergency management. Finally, some analyses and discussions show that the proposed method is feasible and effective.