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

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.