Intelligent Decision Systems Based on Soft Computing
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ItemA Variance-Based Consensus Degree in Group Decision Making Problems( 2019-01-08)The variance is a well-known statistical measure and is frequently used for the calculation of variability. This concept can be used to obtain the degree of agreement in groups that have to make decisions. In this study, we propose the use of a variance derivative as an alternative for the calculation of the degree of consensus for Group Decision Making problems with fuzzy preference relations. As revealed by a subsequent comparative study, the values obtained by this new method are comparable to the values obtained by means of frequently used methods that employ distance functions and aggregation operators, while it turns out to be a simpler application method.
ItemAn Adaptive Feedback Mechanism for Consensus Reaching Processes Based on Individuals' Credibility( 2019-01-08)In group decision making, the decision made should be the one of highest consensus. Numerous consensus reaching processes have been developed as a part of the decision process. Within a consensus reaching process, a notable step is that of the feedback mechanism that helps the individuals arrive at an agreement by generating some recommendations on how they should modify their evaluations. Our objective is to present a new feedback mechanism based on individuals' credibility. Different from the existing approaches, it adapts the recommendations provided to the individuals depending on their credibility.