A Technique of E-Commerce Goods Classification and Evaluation Based on Fuzzy Set

The e-commerce goods classification can put the products of similar nature and characteristics into the same cluster, but the huge amount of data of goods will cause classification algorithm in a high degree of complexity. On the premise of not influencing the classification results, how to reduce the size of the original product data, eliminate noise data interference to a certain extent, and increase the time and space efficiency of classification algorithm, which is an important problem to be considered in the effective commodities classification. After the evaluation of the commodities class, the evaluation of the level of each commodities class is also proposed, then the different types of goods can be allocated and recommended more reasonable and optimal. This paper presents a technique of classification and evaluation of electronic commerce goods based on fuzzy set, and the algorithm is described in detail by example.