The utilization of rough set theory and data reduction based on artificial intelligence in recommendation system
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METHODOLOGIES AND APPLICATION
The utilization of rough set theory and data reduction based on artificial intelligence in recommendation system Huizhi Cao1,2
Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract To improve the effectiveness of allocating the education environmental resources in college music, an allocation model for education environmental resource based on rough set and data reduction is proposed. First, an allocation model of risk preference for education environmental resource based on rough set and data reduction classifier is developed. This model divides risk preference into the existing risk preference and non-existent risk preference. Also, it trains and optimizes the data set for the allocation of education environmental resources by rough set and data reduction classifier. Second, as the rough set and data reduction classifier may fail sometimes in predicting the allocation of education environmental resource, the fuzzy clustering based on rough set is optimized, and combined with the data reduction theory to enhance the effectiveness of allocating the education environmental resources. Finally, based on the simulation research on the allocation model of education environmental resources, the proposed algorithm can obtain a more reasonable allocation of education environmental resources, which embodies the effectiveness of the algorithm. The data reduction classifier of a rough set is used to train and optimize the data set of the allocation of education environmental resources, and visual c?? is used to realize the allocation of education environmental resources. The simulation results show that the algorithm can effectively allocate education environmental resources. The model takes into account the characteristics of the incompatibility between the evaluation of historical data and the complex index system in the evaluation decision-making. It can divide the evaluation decision-making table reasonably, and realize the objective calculation of the weights of each evaluation index based on the rough set condition through hierarchical calculation. Keywords Education environmental resources College music Environmental education Rough set Data reduction
1 Introduction As network technology develops fast, the network has been widely applied, becoming one of the important ways for people to obtain information and knowledge. The latest statistics suggest that the number of Internet users who mainly aim at learning information on the Internet has reached more than 50 million (Amin et al. 2018). To meet such a huge demand, information education has developed
Communicated by V. Loia. & Huizhi Cao [email protected] 1
School of Arts, Hunan City University, Yiyang 413000, China
2
Department of Culture and Arts Contents, Dongbang Culture University, Seoul 100-744, South Korea
rapidly and gradually become a new and widely used educational model. Information education is an online education model that provides high-
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