Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Cross-domain Applications of Fuzzy Logic and Machine Learning
Guest editors: Ekaterina Isaeva and Álvaro Rocha
Article type: Research Article
Affiliations: School of Foreign Languages, Shandong Women’s University, Jinan, China
Correspondence: [*] Corresponding author. Zhai Fei, School of Foreign Languages, Shandong Women’s University, Jinan, 250300, China. E-mail: zhaifei91130@163.com.
Abstract: In recent years, with the development of diversified social values, new requirements put forward to the university students’ social responsibility consciousness education. And the evaluation of to the social responsibility consciousness of the college students is putting on the agenda. In this study, AHP-fuzzy comprehensive evaluation method was used to establish the evaluation model of the social responsibility consciousness of the college students with student-based, which is used to assessment the social responsibility consciousness of the college students with student-based, to reflect advantages and disadvantages of the system of the social responsibility consciousness of the college students with student-based. Thus decision-making basis is provided to the education and training of the social responsibility consciousness of the college students with student-based. The building of the model has great theoretical and practical value on the integrated assessment of the social responsibility consciousness of the college students with student-based.
Keywords: College students, social responsibility consciousness, AHP-fuzzy comprehensive evaluation
DOI: 10.3233/JIFS-179785
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7067-7072, 2020
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl