基于CW算子的組合評價(jià)信息集結(jié)方法及其穩(wěn)定性分析
[Abstract]:At present, the research on the comprehensive evaluation method has achieved fruitful results. However, due to the diversity of the analytical perspective, the difference of the principle of the method, the subjectivity of man-made judgment and so on, the conclusions obtained by different methods are often different. In order to solve the problem of inconsistent evaluation conclusion, combinatorial evaluation method has become the focus of scholars. Based on this, the existing research on combinatorial evaluation methods is carefully combed in order to lay a foundation for the development of new combinatorial evaluation methods. Then, in view of the particularity of the combinatorial evaluation method and the two-dimensional and uneven distribution of the evaluation data, this paper proposes an information aggregation method which is specially used to solve the combinatorial evaluation problem, that is, the combinatorial (CW) operator. This method can take into account the homogeneity and heterogeneity of a single method at the same time, and weighted twice on the basis of systematic cluster grouping, which is helpful to draw a more robust evaluation conclusion. Secondly, in order to further verify the effectiveness of the method in practice, it is applied to the performance evaluation of 16 listed commercial banks in 2015. The simple linear weighting method, grey correlation method, entropy method, ideal point method and improved ideal point method are applied to the performance evaluation of 16 listed commercial banks in 2015. Fuzzy comprehensive evaluation method and principal component analysis method are combined to get the corresponding conclusion. Finally, from the two perspectives of the number of evaluation methods and the number of evaluated objects, the stability analysis of the combinatorial evaluation method based on CW operator is carried out. Compared with the average method, the results show that the combination evaluation method based on CW operator is more stable than the average method.
【學(xué)位授予單位】:南昌大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:F224;F832.33
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 晏永剛;馬銘;;基于AHP-EM-TOPSIS組合評價(jià)方法的區(qū)域低碳競爭力評價(jià)研究——以重慶市實(shí)證評價(jià)研究為例[J];科技管理研究;2015年07期
2 周永衛(wèi);范賀花;;城鎮(zhèn)化水平評價(jià)指數(shù)體系構(gòu)建與實(shí)證[J];統(tǒng)計(jì)與決策;2015年07期
3 王鵬;況福民;鄧育武;田亞平;易鋒;;基于主成分分析的衡陽市土地生態(tài)安全評價(jià)[J];經(jīng)濟(jì)地理;2015年01期
4 李美娟;陳國宏;徐林明;歐忠輝;;基于漂移度的動態(tài)組合評價(jià)方法研究[J];中國管理科學(xué);2015年01期
5 李從欣;李國柱;;京津冀城市群低碳城市組合評價(jià)研究[J];調(diào)研世界;2015年01期
6 屠星月;薛佳妮;郭承坤;封文杰;陳英義;;基于時(shí)間序列與RBF的農(nóng)產(chǎn)品市場價(jià)格短期預(yù)測模型[J];廣東農(nóng)業(yè)科學(xué);2014年23期
7 徐林明;孫秋碧;李美娟;;基于方法集化的區(qū)域自主創(chuàng)新實(shí)力動態(tài)組合評價(jià)研究[J];福州大學(xué)學(xué)報(bào)(哲學(xué)社會科學(xué)版);2014年06期
8 劉丙泉;呂高羊;;區(qū)域技術(shù)創(chuàng)新能力組合評價(jià)研究——以我國12個副省級以上城市為例[J];河南科學(xué);2014年08期
9 李曉燕;;基于熵值法的上市商業(yè)銀行績效評價(jià)分析[J];財(cái)會通訊;2014年17期
10 張發(fā)明;聞琴;汪紅林;;二維區(qū)間密度加權(quán)算子及其應(yīng)用[J];應(yīng)用泛函分析學(xué)報(bào);2014年02期
相關(guān)博士學(xué)位論文 前1條
1 肖慶業(yè);南方地區(qū)退耕還林工程效益組合評價(jià)研究[D];北京林業(yè)大學(xué);2013年
相關(guān)碩士學(xué)位論文 前1條
1 劉安;組合綜合評價(jià)方法的研究及應(yīng)用[D];蘭州商學(xué)院;2012年
,本文編號:2441900
本文鏈接:http://sikaile.net/kejilunwen/yysx/2441900.html