A novel MAGDM-based methodology with SVNSs and applications to collaborative innovation ability training mode selection of virtual teaching and research platforms

Abstract

The virtual teaching and research platform is a cognitive and practical activity for relevant teachers engaged in education and teaching research to improve and improve the quality of education and teaching, relying on the unique functions and resource advantages of the network, using information technology and various network tools to carry out teaching, feedback, etc., and to carry out education and teaching exchange, discussion and other education and teaching research with other administrative organizations or teachers in space regions. It can break the constraints of time, space, organization and other factors. It is an effective form of educational and teaching activities carried out for common goals. It integrates teaching, guidance, discussion, exchange, resource sharing and other functions, and is an important part of the “double training plan”. The collaborative innovation ability training mode selection of virtual teaching and research platforms as a multi-attribute group decision making (MAGDM) problem. In this paper, the Evaluation Based on Distance from Average Solution (EDAS) method is extended to the single-valued neutrosophic sets (SVNSs) and single-valued neutrosophic EDAS method (SVN-EDAS) is proposed to solve MAGDM problem. Finally, the collaborative innovation ability training mode selection of virtual teaching and research platforms is given to show the SVN-EDAS model and some comparative analysis is conduct to depict the advantages of SVN-EDAS.