摘要
目的采用TOPSIS法、秩和比法、密切值法和灰色关联法等四种综合评价方法对1985～2005年湖南省7～18岁学生体质状况进行综合评价;探索一种科学、实用、规范且适合我国学生体质的组合评价方法。方法利用1985～2005年湖南省7～18岁学生体质与健康监测数据,分别采用TOPSIS法、秩和比法、密切值法、灰色关联法对不同年龄、性别的学生体质在各监测年份状况进行综合评价,并将各种评价结果进行组合评价,进而提出优化的学生体质综合评价组合方法。结果 TOPSIS法、密切值法、灰色关联法、秩和比法对1985～2005年湖南省7～18岁男生体质评价的排序结果依次为2000年、1995年、1991年、1985年和2005年;湖南省7～18岁女生体质评价的排序结果依次为1991年、1995年、2000年、1985年和2005年;四种方法在男生和女生的排序结果基本一致。结论 TOPSIS法、秩和比法、密切值法、灰色关联法的排序结果具有良好的一致性,均可应用于学生体质的综合评价。组合评价较单一评价方法更全面、客观。
Objective Using four comprehensive evaluation methods,such as TOPSIS,RSR,closed-value,Gray relational analysis to evaluate the 7～18 years old students＇ physical fitness in Hunan province from 1985～2005 synthetically,and to optimize a scientific,practical,standard combined evaluation method for assessing the Chinese students＇ physical fitness.Methods Based on the 7～18 years old students＇ physical fitness and health monitoring data in Hunan province from 1985 to 2005,the method of TOPSIS,RSR,closed-value and Gray relational analysis were conducted to evaluate students＇ physical fitness of different ages and sex group comprehensively in each monitoring year,and to combine evaluate results among those evaluation methods so as to propose optimal combinatorial method of comprehensive evaluation on students＇ physical fitness.Results The four evaluate results of 7～18 years old students＇ physique in Hunan province from 1985 to 2005 show that with the methods of TOPSIS,RSR,closed-value and gray relational analysis,the ranked result of 7～18 years old boys＇ physical fitness was 2000,1995,1991,1985,2005 in turn,and the result of girls was 1991,1995,2000,1985,2005,respectively.The ranked results among TOPSIS,closed-value and gray relational analysis for boys＇ and girls＇ physical fitness was almost correlation.ConclusionThe ranked results of TOPSIS,RSR,closed-value,gray relational analysis method had good consistency and all can be applied to comprehensively evaluate the students＇ physical fitness.The combined evaluation method is more comprehensive and objective than simplex ones.
出处
《中国卫生统计》
CSCD
北大核心
2010年第5期470-472,共3页
Chinese Journal of Health Statistics
基金
全国大学生创新性实验计划课题基金(编号081053344)
