An extended TODIM method to rank products with online reviews under intuitionistic fuzzy environment

Abstract

Recently, in order to help consumers make decisions, ranking products with online reviews has become an interesting topic. However, literatures concerning this topic are really scare. Therefore, the paper proposes an extended TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) method to rank products through online reviews. To begin with, the IF (intuitionistic fuzzy) based sentiment word framework and corresponding computation rules are constructed, where intuitionistic fuzzy set (IFS) is used to describe sentiment orientations and emotional intensity. Next, both frequency and attention degree of each feature are considered in calculating the feature weight. In addition, two-additive fuzzy measure, nonlinear programming, and Choquet integral are fully utilized to deal with positive, mutual independent, and negative criteria interactions. Finally, we use a case study to illustrate the proposed method and the results show that the proposed method can be effectively used to rank products through online reviews.