發(fā)布時(shí)間：2018-03-10 05:06

  本文選題：綠色資源環(huán)境　切入點(diǎn)：評(píng)價(jià)指標(biāo)　出處：《統(tǒng)計(jì)與信息論壇》2017年08期 　論文類型：期刊論文

【摘要】：以內(nèi)蒙古自治區(qū)12個(gè)盟市的綠色資源環(huán)境發(fā)展為研究對(duì)象,采用灰色動(dòng)態(tài)聚類與粗糙集相結(jié)合的方法,構(gòu)建包含有全年供水量等11個(gè)指標(biāo)的內(nèi)蒙古自治區(qū)綠色資源環(huán)境指標(biāo)體系,其要點(diǎn)在于:一是通過灰色關(guān)聯(lián)分析建立樣本間的灰色關(guān)聯(lián)矩陣,進(jìn)而進(jìn)行樣本間的灰色聚類,反映樣本間的信息重復(fù)性;二是采用動(dòng)態(tài)聚類方法,每次去除一個(gè)指標(biāo)后繼續(xù)通過灰色關(guān)聯(lián)分析建立的灰色關(guān)聯(lián)矩陣進(jìn)行灰色樣本聚類,為粗糙集約簡(jiǎn)提供信息數(shù)據(jù);三是通過粗糙集約簡(jiǎn)理論判斷海選指標(biāo)對(duì)聚類結(jié)果的影響是否顯著,將每一次的聚類結(jié)果與原始聚類結(jié)果比較,保留兩次聚類結(jié)果不同且對(duì)評(píng)價(jià)樣本分類有顯著影響的海選指標(biāo);四是采用非參數(shù)Kruska-Wallis檢驗(yàn)的P值檢驗(yàn)法證明本文構(gòu)建的指標(biāo)體系是合理的。通過對(duì)比分析表明,本文的灰色動(dòng)態(tài)聚類-粗糙集指標(biāo)篩選模型優(yōu)于現(xiàn)有研究的聚類-灰色關(guān)聯(lián)指標(biāo)篩選模型。
[Abstract]:Taking the development of green resources and environment in 12 cities of Inner Mongolia Autonomous region as the research object, the method of combining grey dynamic clustering with rough set is adopted. A green resource environment index system of Inner Mongolia Autonomous region including 11 indexes such as annual water supply is constructed. The main points of this system are as follows: first, the grey correlation matrix among samples is established through grey correlation analysis, and then the grey clustering among samples is carried out. It reflects the information repeatability among samples. Secondly, it adopts dynamic clustering method. After removing one index, grey correlation matrix is used to cluster grey samples, which can provide information data for rough set reduction. Third, the rough set reduction theory is used to determine whether the impact of the selection index on the clustering results is significant, and the clustering results of each time are compared with the original clustering results. Keeping the two different clustering results and having a significant impact on the classification of evaluation samples. Fourthly, the P value test method of non-parametric Kruska-Wallis test is used to prove that the index system constructed in this paper is reasonable, and the comparative analysis shows that the index system constructed in this paper is reasonable. The grey dynamic clustering-rough set index screening model is superior to the existing clustering-grey relational index screening model.
【作者單位】： 內(nèi)蒙古農(nóng)業(yè)大學(xué)理學(xué)院;內(nèi)蒙古農(nóng)業(yè)大學(xué)經(jīng)濟(jì)管理學(xué)院;
【基金】：中國(guó)博士后科學(xué)基金項(xiàng)目《基于小樣本的內(nèi)蒙古微型企業(yè)的信用評(píng)價(jià)研究》(2015M582746XB) 內(nèi)蒙古自治區(qū)自然科學(xué)基金《基于違約狀態(tài)判別的內(nèi)蒙古微型企業(yè)的信用評(píng)價(jià)模型研究》(2016MS0714) 內(nèi)蒙古社會(huì)科學(xué)研究課題《內(nèi)蒙古綠色經(jīng)濟(jì)的評(píng)價(jià)體系研究》(16B12)
【分類號(hào)】：F062.1

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