An application of information correlation pattern recognition algorithm based on fuzzy set theory
SHAN Zhenpei;NING Baoquan;ZHANG Zhuanzhou;Department of Mathematics,Liupanshui Normal University;College of Mathematics and Computer Science,Zunyi Normal University;
In this paper,based on the fuzzy set theory,the concept of fuzzy relative weight is constructed by defining fuzzy correlation coefficient and fuzzy association degree. A novel pattern recognition algorithm is designed based on this,and the quality of agricultural land in Liupanshui City,Guizhou Province,is comprehensively evaluated by the established algorithm. The results show that the model and method are feasible and effective,and they have a certain reference value.