Mechanics, Materials Science & Engineering, March 2016
ISSN 2412-5954
Innovative Ability Xiao-qing Tang1,a 1
School of Mathematics & information, Shanghai Lixin University of Commerce, Shanghai, 201620 China
a
tangxiaoqing5168@163.com DOI 10.13140/RG.2.1.1682.6004
Keywords: grey clustering, probability model, Matlab toolbox
ABSTRACT. In this article, we propose a new grey clustering probability model. That is, grey whiteness function is the probability when score in the clustering. And the weight is the proportion of the thresholds. As an illustrative example, we use the toolboxes evaluation process successfully shows that the toolboxes are fairly convenient, quite efficient.
1. Introduction. In this article, we develop an evaluation Matlab toolbox based on grey clustering probability model. We all know that postgraduate degree is the highest education degree, and innovation is one of its most important tasks. So, it is important to accurate evaluate the innovative ability of postgraduate. Because that there are so many factors influencing innovative ability, such as innovative thinking, knowledge accumulation, innovative environment, and so on. Traditionally, when using the statistical method in analyzing an issue, the summation method has mostly been used to get an average value, and the standard deviation method can only be used to reach a simple conclusion [1]. In past research in this field, most of them are qualitative analysis, only a few quantitative analysis using old conventional method and which has many weak points [2]. And it is known that software plays an important role in our life, because it will not only cause significant effects in a real operation system, but also it will make the results more convincing and practical. MATLAB is commercial mathematics software of U.S. MathWorks company, it is much more simple and convenient by using MATLAB than by using C or Fortran language. Now MATLAB is a foundation of the software research training in a university, so we use it to develop the grey clustering evaluation toolbox. including six first class indexes, that is, innovative spirit, innovative thinking, knowledge accumulation, innovative environment, research practice, research results[3]. And each first class index has some second class indexes as Table 1 shown. Without loss generality, we set that total score is 100, and the first index (innovative spirit) score is 15, it is to say, each of the three second class index score is 5;the second index (innovative thinking) score is 20, each of the two second class index score is 10;and the third index(knowledge accumulation) score is the same as the second index; the fourth index (innovative environment) score is 15, and academic environment score is 8 and infrastructure score is 7; the fifth index (research practice) and the sixth (research results) is the same as the fourth index. This article is organized as follows. Section 1 is the purpose and introduction. Section 2 is the mathematical model and section 3 is the development of toolbox. Section 4 is a real example. Section 5 is the conclusion and discussion. We use software Matlab 7.0 in this article.
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