Microsoft Word - cet-01.docx CHEMICAL ENGINEERING TRANSACTIONS VOL. 46, 2015 A publication of The Italian Association of Chemical Engineering Online at www.aidic.it/cet Guest Editors: Peiyu Ren, Yanchang Li, Huiping Song Copyright © 2015, AIDIC Servizi S.r.l., ISBN 978-88-95608-37-2; ISSN 2283-9216 An Evaluation System and Grey Clustering Evaluation Model of Sunshine Sports Overall Capacity of Colleges and Universities Based on Whitening Weight Functions Zhi’er Liu Department of Sports & Human Science, Jilin Institute of Physical Education p8956k@163.com Sunshine sport is one of the important contents of sports education in colleges and universities. Weaknesses and problems of sunshine sports of colleges and universities are studi ed and discussed in this paper. Firstly, evaluation indexes of sunshine sports are confirmed. And a comprehensive evaluation system is established. Secondly, under the evaluation system, different evaluation indexes are analyzed and the whitening weight functions corresponding to those indexes are constructed. Next, with the weight of index taken into account, a grey clustering evaluation model of sunshine sports for colleges and universities is taken shape and the overall sunshine sports capacity of colleges and universities are obtained based on weighted grey clustering coefficients. Results show that the model is reliable and can be applied to various cases. Last but not the least, the efficacy and the practicality of the model are verified through case s tudy. 1. Introduction In order to respond to national policies and plans on sports education, colleges and universities started to implement sunshine sports step by step and have yielded fruitful results [Wang (2007) and Shi (2014) reported]. However, some problems of sunshine sports of colleges and universities were identified, one of which was that quality and health of students didn’t improve, even degraded in some institutions of higher education. Meanwhile, during the implementation of sunshine sports, the goal is far from clear and relevant measures have no precise target, which result in a lack of mechanism and planning for long -term development. Currently, some experts and scholars have studied the issue from different views and tried to interpret the policy on sunshine sports. They also analyzed the content of sunshine sports as well as planning and strategies on sunshine sports of colleges and universities [Xu (2009), Liang (2011), Zhang et al (2011), Chen (2011) and Cai et al (2014) reported]. However, current evaluation of the sunshine sports evaluation of colleges and universities fails to reach the underlying part of the issue. And it is significant to evaluate the implementation of sunshine sports in a direct and quantified way. Therefore, on th e basis of previous research, this paper studies the comprehensive sunshine sports capacity and proposes an evaluation system and a grey clustering [A (2010), Mustansar et al (2014) and Wen et al (2014) reported] evaluation model based on whitening weight functions [Ker-Tah (2011) reported]. 2. The Evaluation System of Sunshine Sports of Colleges and Universities Based on the scientific principle, the systematic principle, the directing principle and the representative principle, this paper evaluates the implementation of sunshine sports of colleges and universities from three perspectives, namely hardware capacity, software capacity and implementation and execution capacity. The evaluation system of overall sunshine sports capacity of colleges and universities is constructed as Table 1. DOI: 10.3303/CET1546100 Please cite this article as: Liu Z.E., 2015, An evaluation system and grey clustering evaluation model of sunshine sports overall capacity of colleges and universities based on whitening weight functions, Chemical Engineering Transactions, 46, 595-600 DOI:10.3303/CET1546100 595 Table 1: The evaluation system of overall sunshine sports capacity of colleges and universities evaluation system Evaluation criteria Evaluation index The evaluation system of overall sunshine sports capacity of colleges and universities U Hardware capacity 1 U Venues and equipment 11 u Capital investment 12 u Institutional arrangement 13 u Management organs 14 u Teaching staff 15 u Course design 16 u Software capacity 2 U Teaching quality 21 u Integration of production, academia and research 22 u Establishment of key majors 23 u Extracurricular activities 24 u Sports training and competition 25 u Implementation and execution capacity 3 U Policy implementation 31 u Advertisement 32 u Teaching reform 33 u Improvement of students’ talent 34 u Social satisfaction 35 u 3. Grey Cluster Evaluation Model Based on Whitening Weight Functions 3.1 Basic forms of whitening weight functions Whitening weight functions is the core of the grey cluster analysis. When analyzing the object, evaluation indexes of different grey categories usually have distinct whitening weight functions. If the whitening weight function between the object and the i-th grey category about evaluation index j is marked as  jif u . The basic forms of whitening weight functions  jif u can be summarized into the followings. (1) Ladder-shape whitening weight functions  jif u The basic structure of ladder-shape whitening weight functions  jif u is shown in Figure 1. Corresponding whitening weight functions  jif u can be expressed as: (1) (2) Left-half ladder-shape whitening weight functions  jif u The basic structure of left-half ladder-shape whitening weight functions  jif u is shown in Figure 2. Corresponding whitening weight functions  jif u can be expressed as: (2) (3) Right-half adder-shape whitening weight functions  jif u                 0 1 j i j ij j j i i ij j i i j i u u b u b u f u u a u u b u b u a u u a                                         0 1 j j i i j i j j i ij j i ij i j i j j i ij j i i j j i i u u a or u u d u u a u a u u b u b u a f u u d u u c u u d u d u c u b u u c                    596 The basic structure of right-half ladder-shape whitening weight functions  jif u is shown in Figure 3. Corresponding whitening weight functions  jif u can be expressed as: (3) (4) Triangle-shape whitening weight functions  jif u The basic structure of triangle-shape whitening weight functions  jif u is shown in Figure 4. Corresponding whitening weight functions  jif u can be expressed as: (4)  jif u u 1 0  jiu a   j i u b  jiu c   j i u d  jif u u 1 0  jiu a   j i u b Figure 1: Ladder-shape whitening weight functions Figure 2: Left-half ladder-shape whitening weight functions  jiu a   j i u b  jif u u 1 0  jif u u 1 0  jiu a   j i u b   j i u c Figure 3: Right-half ladder-shape whitening Figure 4: Triangle-shape whitening weight functions weight functions 3.2 Weight of indexes of overall sunshine sports capacity In this paper, weights of indexes of overall sunshine sports capacity are allocated on the basis of Delphi Method. Assume m experts are invited to score n evaluation indexes. If the score of evaluation index j from expert i is ij v , the judgment matrix V is: (5) Thus, the column vector and its value j w  of evaluation index j is obtained:                 0 1 j i j ij j j i i ij j i i j i u u a u u a f u u a u u b u b u a u u b                                       0 1 j j i i j i j j i ij j i ij i j i j j i ij j i i j i u u a or u u c u u a u a u u b u b u a f u u b u u b u u c u c u b u u b                   11 12 1 21 22 2 1 2 n n m m mn v v v v v v v v v             V 597 1 m j ij i w v     (6) Consequently, the weight of evaluation index j is: 1 / n j j j j w w w      (7) 3.3 The grey cluster analysis of overall sunshine sports capacity Based on actual implementation of sunshine sports of colleges and universities as well as the distribution of indexes values in the evaluation system, overall sunshine sports capacity is categorized into five levels, namely excellent (level 1), good (level 2), mediocre (level 3), quali fied (level 4) and unqualified (level 5). The whitening weight functions corresponding to each level are shown in Figure 5.  jif u u 1 0 0.4 0.5 0.8 0.90.70.6  5f u  4f u  1f u 3f u  2f u Figure 5: Whitening weight functions of overall sunshine sports capacity According to the whitening weight functions in Figure 5, whitening weight functions of different evaluation levels can be expressed by the followings:  5 0 0.6 0.6 0.4 0.6 0.2 1 0.4 u u f u u u         (8)  4 0 0.5 0.7 0.5 0.5 0.6 0.1 0.7 0.6 0.7 0.1 1 0.6 u or u u u f u u u u                 (9)  3 0 0.6 0.8 0.6 0.6 0.7 0.1 0.8 0.7 0.8 0.1 1 0.7 u or u u u f u u u u                 (10)  2 0 0.7 0.9 0.7 0.7 0.8 0.1 0.9 0.7 0.9 0.1 1 0.8 u or u u f u u u u                (11)  1 0 0.8 0.8 0.8 0.9 0.1 1 0.9 u u f u u u         (12) Therefore, it can be obtained the grey clustering coefficient  1Uif u of hardware capacity 1U of sunshine sports evaluation of colleges and universities is:     11 6 1 1 juU i j i j f u w f u    (13) 598 The grey clustering coefficient  2Uif u of software capacity 2U of sunshine 1U sports evaluation of colleges and universities is:     11 6 1 1 juU i j i j f u w f u    (14) The grey clustering coefficient  3Uif u of implementation and execution capacity 3U of sunshine sports evaluation of colleges and universities is:     33 5 3 1 juU i j i j f u w f u    (15) So the comprehensive grey clustering coefficient  3Uif u of sunshine sports evaluation of colleges is:        31 21 2 3 UU UU i i i i f u w f u w f u w f u      (16) And the overall sunshine sports capacity of colleges and universities is at level p , and it satisfies:             1 2 3 4 5, , , , U U U U U U p f u max f u f u f u f u f u (17) 4. Case Study Based on the evaluation index system, the overall sunshine sports capacity of a key university in West China is studied and analyzed. Through questionnaire, consultation with experts and statistical analysis, index values of overall sunshine sports capacity of this university is known. And according to whitening weight functions and grey clustering model, grey clustering coefficients of indexes of different levels are obtained, as shown in Table 2. Table 2: The grey clustering coefficient of sunshine sports evaluation Evaluation criteria Evaluation index Weight Value Grey clustering coefficient Level 1 Level 2 Level 3 Level 4 Level 5 1 U 11 u 0.20 0.85 0.500 0.500 0 0 0 12 u 0.20 0.60 0 0 0 1.000 0 13 u 0.15 0.70 0 0 1.000 0 0 14 u 0.15 0.75 0 0.500 0.500 0 0 15 u 0.15 0.70 0 0 1.000 0 0 16 u 0.15 0.80 0 1.000 0 0 0 2 U 21 u 0.25 0.80 0 1.000 0 0 0 22 u 0.10 0.50 0 0 0 0 0.500 23 u 0.15 0.50 0 0 0 0 0.500 24 u 0.25 0.80 0 1.000 0 0 0 25 u 0.25 0.85 0.500 0.500 0 0 0 3 U 31 u 0.20 0.90 1.000 0 0 0 0 32 u 0.15 0.95 1.000 0 0 0 0 33 u 0.15 0.60 0 0 0 1.000 0 34 u 0.25 0.75 0 0.500 0.500 0 0 35 u 0.25 0.80 0 1.000 0 0 0 Similarly, the grey clustering coefficient and the comprehensive weighted grey clustering coefficient of indexes under different evaluation criteria of overall sunshine sports capacity are obtained, as shown in Table 3. 599 Table 3: The comprehensive weighted grey clustering coefficient of sunshine sports evaluation Evaluation criteria Weight Grey clustering coefficient Level 1 Level 2 Level 3 Level 4 Level 5 1 U 0.30 0.100 0.325 0.375 0.200 0 2 U 0.30 0.125 0.625 0 0 0.100 3 U 0.40 0.350 0.375 0.125 0.150 0 Comprehensive grey clustering coefficient 0.208 0.435 0.163 0.120 0.030 From Table 3, it is known that the overall sunshine sports capacity of this key university is at level 2 or defined as “good”. 5. Conclusions This paper analyzes evaluation indexes of sunshine sports of colleges and universities and proposes an improved evaluation index system, making the evaluation more reasonable and more reliable. At the same time, whitening weight functions corresponding to different levels of indexes are established on the basis of the grey system theory. And a grey clustering coefficient is put in place, making the result even more convincing. Last but not the least, the model is verified through case study. The study contributes to the evaluation of the implementation effect of sunshine sports with theoretical and practical values. References Cai Z.L., Wu X.P., 2012, Current Situation and Countermeasure of Sunny Sports Activity in Colleges and Universities: A Case Study of Colleges and Universities in Shanghai [J]. 37(9): 111-116. Chen Y.F., 2011, Status Quo and Prospect of Sunshine Sports [J]. Journal of Beijing Sport University, 34(7): 91-93. 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