Intrinsic scenario estimation by noise fuzzy clustering in group decision making

Group decision making is an important issue in many societies and various decision support frameworks have been developed. However, it is mostly difficult to put together various feelings of many decision makers into a solo decision because they often make their decision based on different scenarios. This paper introduces a noise clustering-based approach for estimating intrinsic scenarios in group decision making in Delphi method and Analytic Hierarchy Process (AHP) contexts. In several experiments, it is demonstrated that the noise clustering-based approach is useful for putting together the decisions of same scenarios in multi-scenario situations.