基于模糊Borda法的动态组合评价方法及其应用研究

doi:10.16381/j.cnki.issn1003-207x.2017.02.018

Abstract

Abstract: A dynamic combined evaluation method based on fuzzy Borda is proposed, in order to get rid of the inconsistency among evaluation results from different dynamic evaluation methods. The two-dimensional data with time series data is extended to three-dimensional data. The dynamic combined evaluation method based on fuzzy Borda combines the comprehensive evaluation values and sorting results from different dynamic evaluation methods in dynamic compatible methods set. In order to grasp the overall situation and development trend for regional collaborative innovation capabilities, need for dynamic evaluation. The source data of the evaluation indicators for the regional collaborative innovation capacities come from China Statistical Yearbook, China Statistical Yearbook on Science and Technology, China Statistical Yearbook on Regional Economics. The collaborative innovation capabilities of the provinces in China are evaluated using the dynamic evaluation methods, but the evaluation results from different dynamic evaluation methods are inconsistent, therefore the evaluation results are combined using the dynamic combined evaluation method based on fuzzy Borda. The research shows that regional collaborative innovation capabilities in Chinese provinces and autonomous regions are different from 2009 to 2013. Viewing from their rankings, the regional collaborative innovation capabilities of the eastern coastal areas are at the highest level, those of the northeast and central regions at the middle, and those of the western regions at the lowest. Such an evaluation, as an instance, shows that the findings of this work are practically effective. The consistency evaluation results of the evaluation objects at a certain time and the overall evaluation results of the evaluation objects at a period of time are both obtained by this method. The method proposed in this study provides an idea in dealing with dynamic evaluation and the inconsistency among dynamic evaluation results, helpfully complements the comprehensive evaluation method, and facilitates the researches in related fields.

Key words: dynamic evaluation, combined evaluation, dynamic compatible methods set, fuzzy Borda, collaborative innovation

CLC Number:

C931

XU Lin-ming, LIN Zhi-bing, LI Mei-juan, WU Song-qiang. A Dynamic Combined Evaluation Method Based on Fuzzy Borda and Its Application[J]. Chinese Journal of Management Science, 2017, 25(2): 165-173.

References

[1] 陈国宏,李美娟,陈衍泰.组合评价及其计算机集成系统研究[M]. 北京:清华大学出版社,2007.

[2] 郭显光.一种新的综合评价方法——组合评价法[J]. 统计研究,1995,(5):56-59.

[3] Rao, R V. Evaluating flexible manufacturing systems using a combined multiple attribute decision making method[J].International Journal of Production Research,2008,46(7):1975-1989.

[4] Ren Jing,Xiong Yijie. An optimised method of weighting combination in multi-index comprehensive evaluation[J].International Journal of Applied Decision Sciences,2010,3(1):34-52.

[5] 孙莹,鲍新中.一种基于方差最大化的组合赋权评价方法及其应用[J].中国管理科学,2011,19(6):141-148.

[6] 李刚,王斌,周立斌,等.基于标准差修正G1组合赋权的人的全面发展评价模型及实证[J].系统工程理论与实践,2012,32(11):2473-2485.

[7] 石莉,杨善林,马英,等.一种新的组合权重集结方法及合理性评价研究[J].系统工程学报,2012,27(4):481-491.

[8] LeonidasA, DimitriosK, PanayiotisB. Improved retrieval effectiveness by efficient combination of term proximity and zone scoring:A simulation-based evaluation[J].Simulation Modelling Practice & Theory, 2012,22:74-91.

[9] 李珠瑞,马溪骏,彭张林.基于离差最大化的组合评价方法研究[J].中国管理科学,2013,21(1):174-179.

[10] 张发明.一种融合相似与差异特征的组合评价方法及应用[J].系统管理学报,2013,22(4):498-504.

[11] 吴开亚.基于集对分析的组合评价模型及其应用[J].数学的实践与认识,2013,43(3):1-6.

[12] 刘德海,于倩,马晓南,等.基于最小偏差组合权重的突发事件应急能力评价模型[J].中国管理科学,2014,22(11):79-86.

[13] 石宝峰,程砚秋,王静.变异系数加权的组合赋权模型及科技评价实证[J].科研管理, 2016,37(5):122-131.

[14] 彭张林,张强,王素凤,等.基于评价结论的二次组合评价方法研究[J].中国管理科学,2016,24(9):156-164.

[15] 郭亚军. 综合评价理论、方法与拓展[M].北京:科学出版社.2012.

[16] 王欣荣,樊治平.上市公司财务状况的动态多指标综合评价方法[J].系统工程理论与实践, 2002,(4):54-57.

[17] 刘微微,石春生,吴际.具有速度特征的动态评价方法及应用[J].中国软科学,2010,(10):180-185.

[18] Kou Gang, WuWenshuai,ZhaoYiyi,etal:A dynamic assessment method for urban eco-environmental quality evaluation[J]. Journal of Multi-Criteria Decision Analysis,2011,18(1):23-38.

[19] Tao Yong,Shen Feifei,Hu Mingli. A dynamic evaluation model of university leading cadre based on multivariate delay connection number[J].Kybernetes, 2012,41(5):703-713.

[20] Guo Sandang, Liu Sifeng, Fang Zhigeng, et al. Multi-phase information aggregation and dynamic synthetic evaluation based on grey inspiriting control lines[J]. Grey Systems:Theory and Application, 2014, 4(2):154-163.

[21] Wang Ke, Yu Shiwei, Zhang Wei. China's regional energy and environmental efficiency:A DEA window analysis based dynamic evaluation[J]. Mathematical and Computer Modelling,2013,58(5):1117-1127.

[22] 易平涛, 周莹,郭亚军.带有奖惩作用的多指标动态综合评价方法及其应用[J]. 东北大学学报:自然科学版,2014,35(4):597-599.

[23] 张发明,孙文龙.改进的动态激励综合评价方法及应用[J].系统工程学报,2015, (5):711-718.

[24] 苏为华,张崇辉,曾守桢.主体存在变动的动态群组评价方法及应用[J].统计研究, 2015,(7):100-105.

[25] 廖志高,詹敏,徐玖平.物元法分类动态综合评价方法及速度特征分析[J].中国管理科学,2015,23(11):119-127.

[26] 李美娟,陈国宏,林志炳,等. 基于理想解法的动态评价方法研究[J]. 中国管理科学,2015,23(10):156-161.

[27] 李美娟,李晓轩,徐林明. 基于改进理想解法的动态评价方法研究[J].系统科学与数学,2016,36(10):1659-1669.

[28] 陈国宏,李美娟. 基于总体离差平方和最大的区域自主创新能力动态评价研究[J].研究与发展管理,2014,(5):43-53.

[29] 李美娟,陈国宏,陈勃,等.基于方法集化的动态组合评价方法研究[J].中国管理科学,2013,21(2):132-136.

[30] 李美娟,陈国宏,徐林明,等. 基于漂移度的动态组合评价方法研究[J]. 中国管理科学,2015,23(1):141-145.

[31] 李美娟,徐林明,陈国宏.基于一致性的动态组合评价方法研究[J].中国管理科学,2016,24(10):149-155.

A Dynamic Combined Evaluation Method Based on Fuzzy Borda and Its Application

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