基于模糊集理论的信息关联模式识别算法应用

An application of information correlation pattern recognition algorithm based on fuzzy set theory

文中基于模糊集理论,通过模糊关联系数和模糊关联度的定义,构造了模糊相对权重的概念,在此基础上设计一种新颖的数据信息关联模式识别算法,并通过建立的关联模式识别算法模型对贵州省六盘水市的农田土地质量进行综合评价.评价结果表明:该模型和方法是可行的、有效的,有一定的参考价值和借鉴意义.

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.