A new linguistic label aggregation method and consensus measure for group decision-making

Abstract

Group decision-making is a well studies problem. However, group decision using linguistic scores and consensus measures is a new problem requiring more research. In this paper we propose a new linguistic labels aggregation operation (FLOWA) and an improved method of measuring consensus to handle the group decision-making problem under linguistic assessments. The FLOWA method is more detailed and includes more information about the aggregate than existing direct methods. The measure of consensus allows in return evaluating the relevance of the various individual experts. By changing the weights of the experts based on their contributions we increase the consensus and reinforce the common decision.