Abstract

Food traceability system is an effective way to guarantee food safety and its performance evaluation plays a key role food quality management. The paper takes pork traceability system performance evaluation for example and presents a new performance evaluation indicator system and method based on data mining technology. First based on analyzing attributes and functions of pork traceability system, a performance evaluation indicator system of pork traceability system with three grades is designed; Second, rough set and modified genetic algorithm are used to simplify the calculation structure, search the weights in BP algorithm calculation globally, optimize BP algorithm locally to avoid the network falling into the local extremes and then a new method for evaluating pork traceability system performance is presented. Finally the simulation results show that the presented performance evaluation indicators and method can improve evaluation efficiency and accuracy and can be used for evaluating pork traceability system performance practically.

Keywords:

BP neural network, food quality management, performance evaluation indicator system, pork traceability system, rough set,

References