A novel multiattribute decision making method based on interval-valued intuitionistic fuzzy values and particle swarm optimization techniques

Abstract

A novel multiattribute decision making (MADM) method is proposed in this paper. It uses interval-valued intuitionistic fuzzy values (IVIFVs) and particle swarm optimization (PSO) techniques where the evaluating attribute values of alternatives provided by the decision maker and the weights of attributes are represented by IVIFVs. The PSO techniques are used for obtaining optimal weights of attributes. The proposed MADM method is very useful for dealing with MADM problems.