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.

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.

[1] Li Bingrong, Pei Daowu. Restricted Equivalence Functions and Fuzzy Similarity Measures [J]. Fuzzy system and mathematics, 2018,32 (4): 36-45.
[2] Liu Jiubing, Zhou Xianzhong, Li Huaxiong, Huang Bing, Gu Pingping. An intuitionistic fuzzy three-way decision method based on intuitionistic fuzzy similarity degrees [J]. System engineering theory and practice, 2019,39 (6): 1550-1564.
[3] Zheng Gao, pan Ling, Chen Rui. Research on Similarity Measure between Type-1 Fuzzy Sets [J]. Informatization Research, 2018, 44 (5), 41-43.
[4] Zhao Tao, Xiao Jian. Similarity measure between type-2 fuzzy sets and its applications[J]. Computer engineering and applications, 2013,49 (8): 22-26.
[5] Huang Wensi, Chen Jing, Gu Yu. Research on Intelligent Data Matching and Recognition Scheme Based on Big Data Technology [J]. Telecom Power Technology, 2019,36 (5): 161-165.
[6] Gao Tong. Approximation Performance and Localization Algorithm of Generalized Mamdani  Fuzzy Systems structed Based on Fuzzy　Similarity. [D]. Dissertation of Tianjin Normal University, 2018.
[7] Li Peng, Zhu Jianjun. Multiple Attribute Large-scaled Group Decision Making Methods Based on New Intuitionistic Fuzzy Similarity Degree [J]. Operations Research and Management Science, 2014, 23 (2), 167-174.
[8] Wu Yitao, Zhang Xingming, Wang Xingmao, Li Han. User fuzzy similarity-based collaborative filtering recommendation algorithm [J]. Journal of communications, 2016, 37, (1): 198-206.
[9] Wang lingran, Li Dengfeng. A TOPSIS Method Based on Intuitionistic Fuzzy Similarity and Its Application [J]. Science and technology management research, 2017,19:210-216.
[10] Zhang Bin, Yuan Zhengyi, Zhao Xuesheng, Zhang Xinjian. An Geometry Deformation Evaluation Index of the Spherical Discrete Grid Based on the Fuzzy Similarity [J]. Geography　and　Geo-Information　Science, 2015, (5): 24-33.
[11] Yuan Zehua, Pan Xiaodong. Clustering Method Based on New Intuitionistic Fuzzy Similarity Degree [J]. Journal of Luoyang Institute of Science and Technology ( Natural Science Edition), 2017 (4): 85-89.
[12] Mathews S C,Demski R,Hooper J E,et al.A Model for the Departmental Quality Management Infrastructure within an Academic Health system[J].Academic Medicine,2017,92(5):608-613.
[13] Yumeng Miao,Rong Du,Jin Li,et al.A two-sided matching model in the context of B2B export cross-border e-commerce[J]. Electronic Commerce Research, 2019, 19 (5):841-861.
[14] Li Y, Fang J, Zeng Y, et al.Two-sided online bipartite matching in spatial data: experiments and analysis [J].GeoInformatica, 2019(13):1-24.
[15] Wan R,Xiong N,Hu Q,et al.Similarity-aware data aggregation using fuzzy c-means approach for wireless sensor networks[J].EURASIP Journal on Wireless Communications and Networking,2019,59(1):1-11.
[16] Hussian Zahid,Yang Miin-Shen.Distance and similarity measures of Pythagorean fuzzy sets based on the Hausdorff metric with application to fuzzy TOPSIS[J]. International Journal of Intelligent Systems, 2019,34(10):2633-2654.