Research on Safety Classification for Vehicle Anti-collision Data by Improved Interval Fuzzy Reasoning
Lijuan Qin, Yingying Shen · 2021
The automobile anti-collision safety system can reduce the traffic accident rate and maintain traffic safety. Research of it is very practical and important. This paper introduces a new safety data classification method. A new weighted interval value matching classification method was proposed based on interval-valued fuzzy set theory. The weights of each feature are determined by the relationship between classes and inside classes. The matching function is achieved by common interval intersection operations. At last, simulation is given to illustrate the effectiveness. The new fuzzy classifier can be applied to safety data classification for vehicle crash avoidance.