A New Pattern Recognition Algorithm Based on Fuzzy Association Degree
Shifei Ding, Zhongzhi Shi · 2006
Based on fuzzy association degree, a new pattern recognition algorithm is set up. First, some new concepts of fuzzy association coefficient (FAC), Fuzzy association degree (FAD) and Fuzzy relative weight (FRW) have been proposed for surveying data information. Second, on the basis of the concepts proposed here, a new pattern recognition algorithm has been set up. At last, the algorithm set up here is applied to surveying data. The results of simulation application show that the recognition algorithm presented here is feasible and effective.