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Academic Journal of Computing & Information Science, 2020, 3(1); doi: 10.25236/AJCIS.2020.030101.

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


Zhaojun Wang, Liangwen Yuea,*

Corresponding Author:
Liangwen Yue

Beijing Sunway World Science & Technology Co.,Ltd;Bldg 12,Yard 6, Haiying Road,Fengtai District,Beijing,China,100070
a. liangwenylw@163.com
*corresponding author


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.


similarity algorithm, intelligent matching algorithm, standard attribute, quality attribute, matching rule

Cite This Paper

Zhaojun Wang, Liangwen Yue. Research on quality and standard two-way intelligent matching algorithm based on similarity theory. Academic Journal of Computing & Information Science (2020), Vol. 3, Issue 1: 1-16. https://doi.org/10.25236/AJCIS.2020.030101.


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