Sports food safety supervision based on AHP and interval fuzzy TOPSIS

Abstract

In recent years, China’s food safety problems emerge in endlessly, from the “Sanlu milk powder contains melamine”, “Shuanghui contains clenbuterol”, to Wal-Mart false green pork, the occurrence of these events, makes the “safe” on the tip of the tongue is more and more attention. Sports food safety supervision system is established in accordance with the Law of Food Safety in China. This is a joint system of government supervision and food trade association selfregulation. Sports food supply chain’s each link is closely related to the safety of the athletes, strengthen the risk management in the process of food supply chain operation is to avoid the urgent requirements of food safety and quality accident. The implementation of accurate, comprehensive and rapid analysis of supply chain risk assessment is a key link in the process of risk management. In the paper, a methodology based on AHP (Analytic Hierarchy Process) and interval fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is used for analyzing the safety supervision of sports foods. The proposed approach determines different suppliers and uses various criteria to rank different alternatives. The preliminary results indicate that the proposed model of this paper is capable of determining appropriate suppliers in sports food industry.