The purpose of this paper is to propose a three-dimensional grey interval relational degree model for dynamic Multiattribute decision making. In the model, the observed values are interval grey numbers. Elements are selected in the system as the points in anm-dimensional linear space. Then observation data of each element to different time and objects are as the coordinates of point. An optimization model is employed to obtain each scheme’s affiliate degree for the positive and negative ideal schemes. And a three-dimensional grey interval relational degree model based on time, index, and scheme is constructed in the paper. The result shows that the three-dimensional grey relational degree simplifies the traditional dynamic multiattribute decision making method and can better resolve the dynamic multiattribute decision making problem of interval numbers. The example illustrates that the method presented in the paper can be used to deal with problems of uncertainty such as dynamic multiattribute decision making.

This article discusses the application effect of the 'student-centered, teacher-led' practice mode. Using the frame of constructivist theoretical perspective and Lewin's action research, we selected the 'student-centered, teacher-led' practice mode, and the data sources included the interviews, the students' practice records and questionnaires from the students and the teachers. The results can be summarized in four aspects as follows: Self-regulated learning ability of students can be improved; students' clinical thinking can be advanced; the profession can be further understood by students; a professional affection can be fostered. The mode embodies the 'student-centered, teacher-led' teaching ideology, and inspires their self-regulated learning interest, development of their clinical thinking capacity, arousal of their professional emotion while it improves their professional qualities. Action research promoted changes in 'student-centered, teacher-led' practice mode and the mode is worth broader application.

Supply chain finance (SCF) plays an increasingly important role in global enterprise competition. The credit risk accompanying SCF has attracted the attention of the government, enterprises, and academia. However, with the absence of data and inaccurate information, traditional risk assessment methods are frequently failed to assess the credit risk in SCF, especially for small- and medium-sized enterprises (SMEs). In this study, a grey correlation model is introduced and applied to the SCF risk assessment process for 15 firms in the Chinese home appliance industry with 15 performance indicators that represent profitability, solvency, operational capability, and development capability. The empirical study displays the operability and effectiveness of the grey correlation model, which is superior to traditional methods in the supply chain financial risk assessment.

PurposeIn order to improve the competitiveness of the “double first-class” university in China, it is essential to conduct a rational, scientific study of the current status of the staff to ensure its long-term development.Design/methodology/approachBased on the grey analytic hierarchy process (Grey–AHP), this paper evaluates the situation of faculty and staff, hereby, analyzes the initiative and enthusiasm of faculty and staff in the construction of “double first-class universities”FindingsThe index weights of the main factors are similar, which indicate the development of teaching staff in higher education depends mainly on the role of full-time teachers, doctors and master's guidance teachers and non-teaching staff.Originality/valueWhile the other literature emphasized scientific output, this article enlightened the important role of faculty and staff in the construction of ‘first-class' universities, which contributes to the study of development of China's high education in a new perspective.