Fuzzy sets for data mining and recommendation algorithms

• Published in: Journal of intelligent & fuzzy systems Vol. 38; no. 4; pp. 3737 - 3745
• Main Authors: Man, Na, Wang, Kechao, Liu, Lin
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 30.04.2020; Sage Publications Ltd
• Subjects: Algorithms; Automatic control; Complex systems; Data mining; Decision analysis; Diagnostic systems; Earthquake prediction; Economic analysis; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Information systems; Signal processing; State variable; recommendation algorithm; fuzzy system; fuzzy set; Data mining
• ISSN: 1064-1246; 1875-8967
• DOI: 10.3233/JIFS-179596

A fuzzy system is a system that defines input, output, and state variables on a fuzzy set and is a generalization of a deterministic system. The fuzzy system begins at the macro level and covers the fuzzy features of human brain thinking. It has advantages in describing advanced knowledge. Fuzzy sets can mimic the comprehensive conclusions of people solving fuzzy information problems, which are difficult to solve by conventional mathematical methods, so computer applications can be extended to humanities, social sciences and complex systems. In this way, it can better solve nonlinear problems and is widely used in automatic control, decision analysis, time series signal processing, economic information systems, medical diagnostic systems, and earthquake prediction systems. This paper aims to study the data mining algorithm of fuzzy systems based on fuzzy sets. By using the powerful fuzzy data modeling function of fuzzy theory, it combines with other intelligent processing methods, and makes practical use in industrial life. By comparing the application of fuzzy set data mining and algorithm, it is found that in the application state, the economic benefits of the factory are improved by 36% and the production efficiency is improved by 25% under the application of data mining and algorithm. The research data shows that the data mining and recommendation algorithms of fuzzy sets are beneficial to the development and operation of the factory. The research results show that compared with the conventional production and processing plan, the technology uses fuzzy set theory to transform the fuzzy attributes, which is more advantageous in scientific and technical systems and algorithms with its scientificity, accuracy, innovation and extensiveness.