Application Research of Traffic Accident Analysis Based on Fuzzy Association Rule
Jinsong Zhang · Jisuanji fangzhen · 2011
In order to search the rules of traffic accidents and prevent their occurrences,the fuzzy clustering was introduced into this paper because traditional association rule is difficult to gain partition for numerical attributes while it is applied in analyzing traffic accident.This paper uses Fuzzy c-Means(FCM) to classify numerical data and then employs fuzzy association rule to gain the reasons and potential rules of traffic accident.This paper improves the FCM algorithm,including the methods for computing the membership degree and modifying weights and centers of clusters,and then makes use of fuzzy association rule to mine the rules of traffic accidents.Finally,we implement the algorithm and its visualization,and results show that it is feasible.