An optimization based Consensus Model in Multiple Attribute Group Decision Making with Individual Bounded Confidences

Pursuing a consensus-based solution in group decision making has been widely studied. However, most of the existing consensus models have overlooked one important issue, that is, the decision makers’ willingness to accept these suggestions in a consensus reaching process. This issue is explained by the bounded confidence model in the field of opinion dynamics. In this line, this study develops an optimization-based consensus model that considers individual bounded confidences and provides decision makers with more acceptable suggestions based on their bounded confidences. Finally, a numerical example is presented to show the use of the model.

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