A method and application to index design and decision making based on Takagi-Sugeno fuzzy inference

Abstract

In order to find the optimal solution among contradictory objectives, an aggregation method for the objectives based on Takagi-Sugeno fuzzy inference was proposed. By establishing membership functions and fuzzy rules, this method could express decision makers' preference structure more accurately. The fuzzy inference aggregation method for the objectives is closer to the actual decision-making process and overcomes the limitation of a specific function form, so it has a better approximation characteristic than traditional aggregation methods. An example was showed to illuminate the method and decision-making process.