Regresar

An iterative group decision model using majority operators and AHP

Abstract:

The problems of decision in group are situations where a set of experts works in a process of decision with the objective to obtain a final value that is representative of the group. One of the main problems that consider in these processes is the design of decision models that represents the opinion of the majority. The Analytical Hierarchic Process is a method of group decision making that allows to obtain, from experts' individual opinions a global value to the group. This paper analyzes the different models of group decision making used in AHP, showing how their application in these problems does not produce representative results for the majority. In order to solve this problem, this paper suggests how an interactive group decision can be used for AHP, which permits obtain a representative value for the expert's majority opinion on the basis of affinity criteria between their individual opinions. The proposed decision model is made up of an iterative process of grouping that generates cluster of decision makers on basis to affinity measures which are based on preferences graphs, and majority ordered weighting operators to the aggregation of the judgments or experts priorities.