Disciplinary Construction of Chinese Language and Literature Resources Integrating Fuzzy Mathematics

• Published in: Mathematical problems in engineering 2022-09, Vol.2022, p.1-10
• Main Authors: Li, Yanli, Li, Yun
• Format: Article
• Language: English
• Subjects: Chinese languages; Cluster analysis; Curricula; Discipline; Employment; Evaluation; Fuzzy sets; Indicators; Knowledge; Learning; Linguistics; Mathematical analysis; Mathematical problems; Mathematics; Methods; Optimization; Sign language; Social change; Software; Students
• ISSN: 1024-123X; 1563-5147
• DOI: 10.1155/2022/2907904

The development of a country’s language and literature is the orientation of the country’s spiritual strength, and it is also the embodiment of the national literary quality. Chinese language and literature has a very long history of development, the content of which is broad and deep, and there are countless literary works. It is impossible for one person to fully understand these works after spending his entire life. As a result, these literary resources are optimized and constructed and classified into various disciplinary contents, so that students can systematically learn literary knowledge according to their own interests. Therefore, this paper conducts a disciplinary analysis of the construction of Chinese language and literature resources by integrating the method of fuzzy mathematics. Through the study of fuzzy mathematics, the method of fuzzy cluster analysis is proposed to classify Chinese language and literature resources, and the method of fuzzy comprehensive evaluation is used to evaluate the contents of various subjects. This paper selected the richness of subject content, faculty strength, talent demand, and subject difficulty as evaluation indicators. By comparing the scores of various discipline indicators before and after resource optimization, the results showed that using fuzzy cluster analysis, disciplines 1 and 2 were popular disciplines. Disciplines 4 and 5 were general disciplines, and disciplines 3 and 4 were unpopular disciplines. Using the fuzzy comprehensive average, the comprehensive scores of the six disciplines were 84, 79, 80, 82, 83, and 75, respectively. The quality of resource construction in these disciplines was high. In addition, the scores given by experts were all above 70 points, with an average score of about 83 points. It showed that the method of using fuzzy mathematics to construct Chinese language and literature resources has achieved good results, and the results obtained by using the method of disciplinary analysis were reliable and feasible.