Research on quality and standard two-way intelligent matching algorithm based on similarity theory

Abstract

This paper discussed the model and algorithm of two-way intelligent matching between product quality and standard, and selected randomly 18 kinds of men's shirts products from Tmall Mall, and conducted the empirical test of two-way matching between product quality and standard with the designed standard,aiming at the limitation of the research on two-way intelligent matching at home and abroad, based on the fuzzy similarity theory in fuzzy mathematics. Through empirical test, it is found that the two-way matching model and algorithm given in this study is a universal, scientific and reasonable two-way matching model and algorithm of product quality and standard, which can support most of the two-way matching of product quality and standard, not only can enrich the two-way matching theory of product quality and standard, but also can be applied to the practice of economic and social development. The model and algorithm supports the two-way automatic matching of product quality and standard, and provides an important methodology for the research of National Quality Infrastructure (NQI) common technology.