The sensitivity analysis for cooperative decision by TOPSIS method

Abstract

Quantitative multiattribute decision making methods are handy for making cooperative decisions, because the decision makers are interested in finding a common solution; even some times they have diverse goals. The initial data for cooperative decision making depend on the decision makers' own views, therefore the input data may be inconsistent. An important step in cooperative decision making is to perform a sensitivity analysis for the cooperative decision. In this paper we perform a sensitivity analysis for the cooperative decision with respect to the values of attributes and the values of the attribute significances. The judgements of the expert group are used for generating the values of attributes significances. Monte Carlo simulation is used for the generation of the attribute values. We propose to represent the final decision together with the results of sensitivity analysis and confidence level of the decision. We believe that this can help to increase the reliability of the cooperative decision making.