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1、數(shù)學(xué)中國(guó)教師交流群:70339631數(shù)學(xué)中國(guó)參賽隊(duì)號(hào)#1464微博:/304456943 2014 年第七屆“認(rèn)證杯”數(shù)學(xué)中國(guó)數(shù)學(xué)建模網(wǎng)絡(luò)挑戰(zhàn)賽承諾書(shū)我們仔細(xì)閱讀了第七屆“認(rèn)證杯”數(shù)學(xué)中國(guó)數(shù)學(xué)建模網(wǎng)絡(luò)挑戰(zhàn)賽的競(jìng)賽規(guī)則。我們完全明白,在競(jìng)賽開(kāi)始后參賽隊(duì)員不能以任何方式(包括電話、電子郵件、網(wǎng)上咨詢等)與隊(duì)外的任何人(包括指導(dǎo)教師)研究、討論與賽題有關(guān)的問(wèn)題。我們知道別人的成果是違反競(jìng)賽規(guī)則的, 如果引用別人的成果或其他公開(kāi)的資料(包括網(wǎng)上查到的資料),必須按照規(guī)定的參考文獻(xiàn)的表述方式在正文引用處和參考文獻(xiàn)中明確列出。我們鄭重承諾,嚴(yán)格遵守競(jìng)

2、賽規(guī)則,以保證競(jìng)賽的公正、公平性。如有違反競(jìng)賽規(guī)則的行為,我們接受相應(yīng)處理結(jié)果。我們?cè)试S數(shù)學(xué)中國(guó)網(wǎng)站()公布論文,以供網(wǎng)友之間學(xué)習(xí)交流,數(shù)學(xué)中國(guó)網(wǎng)站以非商業(yè)目的的論文交流不需要提前取得我們的同意。我們的參賽隊(duì)號(hào)為: 參賽隊(duì)員(簽名) :隊(duì)員 1:呂嫻雅隊(duì)員 2:褚詩(shī)成隊(duì)員 3:楊鑫參賽隊(duì)教練員 (簽名):朱家明參賽隊(duì)伍組別:本科組數(shù)學(xué)中國(guó)YY網(wǎng)校頻道:159214數(shù)學(xué)中國(guó)數(shù)學(xué)中國(guó)公眾微信平臺(tái):shuxuezhongguo數(shù)學(xué)中國(guó)教師交流群:70339631數(shù)學(xué)中國(guó)參賽隊(duì)號(hào)#1464微博:

3、/304456943 第七屆“認(rèn)證杯”數(shù)學(xué)中國(guó)數(shù)學(xué)建模網(wǎng)絡(luò)挑戰(zhàn)賽編 號(hào) 專 用 頁(yè)參賽隊(duì)伍的參賽隊(duì)號(hào):(請(qǐng)各個(gè)參賽隊(duì)提前填寫(xiě)好): 1464競(jìng)賽統(tǒng)一編號(hào)(由競(jìng)賽組委會(huì)送至評(píng)委團(tuán)前編號(hào)):競(jìng)賽評(píng)閱編號(hào)(由競(jìng)賽評(píng)委團(tuán)評(píng)閱前進(jìn)行編號(hào)):數(shù)學(xué)中國(guó)YY網(wǎng)校頻道:159214數(shù)學(xué)中國(guó)數(shù)學(xué)中國(guó)公眾微信平臺(tái):shuxuezhongguo數(shù)學(xué)中國(guó)教師交流群:70339631數(shù)學(xué)中國(guó)參賽隊(duì)號(hào)#1464微博:/304456943 2014 年第七屆“認(rèn)證杯”數(shù)學(xué)中國(guó)數(shù)學(xué)建模網(wǎng)絡(luò)挑戰(zhàn)賽第一階段論文題目土地儲(chǔ)備項(xiàng)目的財(cái)務(wù)分析和風(fēng)險(xiǎn)評(píng)估關(guān)

4、鍵 詞土地儲(chǔ)備、風(fēng)險(xiǎn)評(píng)估、財(cái)務(wù)指標(biāo)、Matlab、綜合評(píng)價(jià)建模 摘要本文通過(guò)分析附件二中的數(shù)據(jù)得到財(cái)務(wù)凈現(xiàn)值(FNPV),財(cái)務(wù)內(nèi)部收益率(FIRR),項(xiàng)目投資收益率(ROI),自有投資資金利潤(rùn)率,動(dòng)態(tài)回收周期(Pt)等多項(xiàng)財(cái)務(wù)指標(biāo),經(jīng)過(guò)的推導(dǎo),得出土地儲(chǔ)備風(fēng)險(xiǎn)與各項(xiàng)財(cái)務(wù)指標(biāo)的關(guān)系,據(jù)此建立了相關(guān)的數(shù)學(xué)模型并論證了模型的合理性和科學(xué)性。針對(duì)問(wèn)題一,在對(duì)附件二中相關(guān)數(shù)據(jù)的仔細(xì)研究和分析下,首先我們通過(guò)參考大量文獻(xiàn),對(duì)反映土地儲(chǔ)備風(fēng)險(xiǎn)的財(cái)務(wù)指標(biāo)進(jìn)行了詳細(xì)解釋與說(shuō)明,然后通過(guò) Excel 軟件作出累計(jì)凈現(xiàn)金流量和現(xiàn)金流出的柱形圖。我們發(fā)現(xiàn) 4 個(gè)項(xiàng)目的數(shù)據(jù)有異常,認(rèn)為可能是工作人員錄入錯(cuò)誤或其他不可知

5、的因素導(dǎo)致的,因此剔除這 4 個(gè)項(xiàng)目(編號(hào)為 11、16、46、69),最后我們?cè)诟鶕?jù)篩選后的數(shù)據(jù),將五項(xiàng)財(cái)務(wù)指標(biāo)下的數(shù)據(jù)構(gòu)建指標(biāo)數(shù)據(jù)矩陣,并據(jù)此建立了無(wú)量綱化數(shù)據(jù)矩陣,利用 Matlab 軟件計(jì)算出各指標(biāo)的權(quán)向量,發(fā)現(xiàn)項(xiàng)目投資收益率這一財(cái)務(wù)指標(biāo)可以作為項(xiàng)目可行性的初步評(píng)判標(biāo)準(zhǔn)。從而為土地儲(chǔ)備機(jī)構(gòu)提供了土地儲(chǔ)備方案的初步風(fēng)險(xiǎn)評(píng)估方法。針對(duì)問(wèn)題二,我們?cè)趩?wèn)題一模型的基礎(chǔ)上進(jìn)行了更精確的分析研究。利用綜合評(píng)價(jià)建模的方法和 Matlab 軟件對(duì)附件二中的五項(xiàng)財(cái)務(wù)指標(biāo)進(jìn)行了理想最佳和最劣方案的研究,得到了 2 個(gè)相對(duì)偏差矩陣,并通過(guò)歸一化數(shù)學(xué)處理方法得出客觀性權(quán)向量,然后建立效益型模型且計(jì)算出了一個(gè)綜

6、合評(píng)價(jià)指數(shù) Fi ,將土地儲(chǔ)備風(fēng)險(xiǎn)定量化,并且由該模型知,F(xiàn)i 越大, 土地儲(chǔ)備項(xiàng)目的可行性越好,即風(fēng)險(xiǎn)性越小。我們用 excel 將 Fi 值進(jìn)行排序,發(fā)現(xiàn) 51、26、49、7、24、14、47、54、13、2 這十個(gè)項(xiàng)目的 Fi 值最小,所以它們的可行性最差,風(fēng)險(xiǎn)最大。本文對(duì)土地儲(chǔ)備項(xiàng)目風(fēng)險(xiǎn)做了定量評(píng)估,建立了一些相關(guān)的指標(biāo)體系,并運(yùn)用多種軟件對(duì)相關(guān)模型進(jìn)行求解、分析,計(jì)算簡(jiǎn)單、方便、快捷、準(zhǔn)確。最后對(duì)模型進(jìn)行了誤差分析和推廣,使模型更具有現(xiàn)實(shí)意義。數(shù)學(xué)中國(guó)YY網(wǎng)校頻道:159214數(shù)學(xué)中國(guó)數(shù)學(xué)中國(guó)公眾微信平臺(tái):shuxuezhongguo數(shù)學(xué)中國(guó)教師交流群:7

7、0339631數(shù)學(xué)中國(guó)參賽隊(duì)號(hào)#1464微博:/304456943 參賽隊(duì)號(hào):1464所選題目:C題AbstractBased on theanalysis of Annex II to the financial net present value (FNPV),financial internal rate of return (FIRR), project investment rate of return (ROI), private investment capital profit rate dynamic recovery

8、period (Pt) based on the five financial indicators, through rigorous derivation, the land reserve risk and these variables the function relation close, establish relevant mathematical model and by evaluating the rationality and scientificity of the model.Aiming at the problem in a table in Appendix

9、2, carefully study and understand the relevant data, we first through referring to lots of documents, the 5 land reserve financial indicators detailed explanation and description, and then by using the Excel software to make the column chart cumulative net cash flow and cash outflow, and effect of f

10、ive financial indicators of land reserve project risk pie chart, we found 4 items of the data is abnormal, in according to the known conditions, is thought to be factors that lead to staff entry errors or other unknown, and remove the 4 project (No. 11, 16, 46, 69), in the end we screened after the

11、data, the five financial index data to construct index data matrix, and then build dimensionless data matrix, using Matlab software to establish comprehensive evaluation model, multi-directional, deep to these risk factors were studied and analyzed, the quantitative risk of land reserve. Thus the ri

12、sk assessment method of land reserve plan is practical and effective for land reserve agencies.For question two, according to the problems, we use comprehensive evaluation model of Annex II of the five financial indicators of the ideal and the worst scheme, obtained 2 relative deviation matrix, and

13、the normalized mathematical processing method obtains the objectivity of the weight vector, and then establishes the benefit model and calculate a comprehensive the evaluation index of F, the model is known, F is better, the feasibility of land reserve projects, namely risk of smaller. And vice vers

14、a. We use the excel F values are sorted, found in 51, 26, 49, 7, 24, 14, 47, 54, 13, 2 of the ten projects minimum F value, so the feasibility of them was the worst, the biggest risk.In this paper, the land reserve project risk quantitative evaluation, establishes some related index system, and use

15、a variety of software related to the model, analysis, calculation is simple, convenient, fast, accurate. The model error is analyzed and the promotion, make the model more practical significance.數(shù)學(xué)中國(guó)YY網(wǎng)校頻道:159214數(shù)學(xué)中國(guó)數(shù)學(xué)中國(guó)公眾微信平臺(tái):shuxuezhongguo參賽 (由組委會(huì)填寫(xiě))數(shù)學(xué)中國(guó)教師交流群:70339631數(shù)學(xué)中國(guó)

16、參賽隊(duì)號(hào)#1464微博:/304456943 KeyWords:Land BankingRisk EvaluationFinancialIdicatorsMatlabIntegratedAssessmentModels數(shù)學(xué)中國(guó)YY網(wǎng)校頻道:159214數(shù)學(xué)中國(guó)數(shù)學(xué)中國(guó)公眾微信平臺(tái):shuxuezhongguo數(shù)學(xué)中國(guó)教師交流群:70339631數(shù)學(xué)中國(guó)參賽隊(duì)號(hào)#1464微博:/304456943 1 問(wèn)題的重述國(guó)土資源管理部門(mén)為實(shí)現(xiàn)調(diào)控土地市場(chǎng)、促進(jìn)土地資源土地儲(chǔ)備,是指市、縣人民合

17、理利用目標(biāo),依法取得土地,進(jìn)行前期開(kāi)發(fā)、儲(chǔ)存以備供應(yīng)土地的行為。土地儲(chǔ)備工作的具體實(shí)施,由土地儲(chǔ)備機(jī)構(gòu)承擔(dān)。這幾年來(lái),通過(guò)實(shí)施土地收儲(chǔ)及招拍掛,在增加地方財(cái)政收入,改善城市基礎(chǔ)設(shè)施建設(shè),提高土地市場(chǎng)的公平性和透明性方面起到了積極的作用。但是,土地收儲(chǔ)也成為金融風(fēng)險(xiǎn)的關(guān)鍵環(huán)節(jié)。由于在土地收儲(chǔ)過(guò)程中,需要?jiǎng)佑么罅康馁Y金,而這種資金如果單純依靠有限的財(cái)政資金是不現(xiàn)實(shí)。再加上,當(dāng)前我國(guó)的金融產(chǎn)品較為單一,土地銀行、土地債券、土地信托等新型的金融產(chǎn)品至今仍待字閨中。于是在地方及其財(cái)政背書(shū)的情況下,土地收儲(chǔ)機(jī)構(gòu)往往大量利用銀行的授信貸款、抵押貸款等各種渠道的信貸資金收儲(chǔ)土地。而這些資金在土地市場(chǎng)活躍向好的

18、情況下,風(fēng)險(xiǎn)不易顯現(xiàn)。而當(dāng)土地市場(chǎng)之時(shí),極易因所收儲(chǔ)的土地?zé)o法變現(xiàn)而導(dǎo)致金融風(fēng)險(xiǎn)的集中暴發(fā)。為了使土地儲(chǔ)備工作安全、高效地進(jìn)行,必須對(duì)可能影響土地儲(chǔ)備的風(fēng)險(xiǎn)因素進(jìn)行分析評(píng)估,從而得出合理的土地儲(chǔ)備方案?,F(xiàn)有某省級(jí)土地儲(chǔ)備中心從土地儲(chǔ)備項(xiàng)目可研報(bào)告中提取的數(shù)據(jù),其中包括74個(gè)土地儲(chǔ)備項(xiàng)目的收購(gòu)儲(chǔ)備面積、財(cái)務(wù)凈現(xiàn)值、財(cái)務(wù)內(nèi)部受益率、動(dòng)態(tài)回收周期和項(xiàng)目投資總額等重要指標(biāo),要求我們解決下列問(wèn)題:1.利用可研報(bào)告中提取的數(shù)據(jù),建立合理的數(shù)學(xué)模型,為土地儲(chǔ)備部門(mén)提供一個(gè)比較實(shí)用的土地儲(chǔ)備方案的風(fēng)險(xiǎn)評(píng)估方法。2.利用問(wèn)題一設(shè)計(jì)的風(fēng)險(xiǎn)評(píng)估方法對(duì)74個(gè)土地儲(chǔ)備項(xiàng)目進(jìn)行風(fēng)險(xiǎn)評(píng)估, 將10 個(gè)風(fēng)險(xiǎn)最大的項(xiàng)目提供給土

19、地儲(chǔ)備部門(mén)退回,并從模型的角度,指出造成這10 個(gè)項(xiàng)目風(fēng)險(xiǎn)較大的原因。2 問(wèn)題的假設(shè)1.可研報(bào)告中的數(shù)據(jù)真實(shí)可靠;2.不同年份的土地儲(chǔ)備制度和市場(chǎng)環(huán)境沒(méi)有大的改變;3.排除自然災(zāi)害、全球金融等不可抗力因素的影響;4.不考慮貨通貨膨脹帶來(lái)的影響。3 問(wèn)題的分析該問(wèn)題是一個(gè)解決土地儲(chǔ)備項(xiàng)目風(fēng)險(xiǎn)評(píng)價(jià)與控制研究的預(yù)測(cè)評(píng)估模型。問(wèn)題一是要求我們根據(jù)附件二分析土地儲(chǔ)備項(xiàng)目可研報(bào)告中的數(shù)據(jù),由于該表包含各種數(shù)據(jù)指標(biāo),經(jīng)過(guò)深層次研究,我們從該表中提取了財(cái)務(wù)凈現(xiàn)值(FNPV),財(cái)務(wù)內(nèi)部收益率(FIRR),項(xiàng)目投資收益率(ROI),自有投資資金利潤(rùn)率,動(dòng)態(tài)回收周期(Pt)這五項(xiàng)財(cái)務(wù)指標(biāo),對(duì)給出的 74 個(gè)項(xiàng)目進(jìn)行

20、了度的比較和分析。通過(guò)了解,我們知道除了動(dòng)態(tài)回收周期是成本型指標(biāo)外,其他四項(xiàng)均為效益型指標(biāo)。所以我就可以通過(guò)綜合評(píng)價(jià)建模模型來(lái)研究土地儲(chǔ)備項(xiàng)目的風(fēng)險(xiǎn)評(píng)估,然后利用該模型得出土地儲(chǔ)備項(xiàng)目的綜合評(píng)價(jià)指數(shù),再根1數(shù)學(xué)中國(guó)數(shù)學(xué)中國(guó)YY網(wǎng)校頻道:159214數(shù)學(xué)中國(guó)公眾微信平臺(tái):shuxuezhongguo數(shù)學(xué)中國(guó)教師交流群:70339631數(shù)學(xué)中國(guó)參賽隊(duì)號(hào)#1464微博:/304456943 據(jù)這些指標(biāo)的性質(zhì)并進(jìn)行比較分析得出合理的結(jié)論,顯然,有效的土地儲(chǔ)備方案的風(fēng)險(xiǎn)評(píng)估方法也就應(yīng)運(yùn)而生了。問(wèn)題二是在第一問(wèn)的基礎(chǔ)上,把相

21、關(guān)指標(biāo)數(shù)據(jù)帶入到綜合評(píng)價(jià)建模模型中,在不考慮通貨膨脹,全球金融的因素的前提下,從五大財(cái)務(wù)指標(biāo)入手,對(duì)其進(jìn)行作圖,比較,求解,分析,最終得出結(jié)論并找出來(lái) 10 個(gè)風(fēng)險(xiǎn)最大的項(xiàng)目,并且從理論和數(shù)據(jù)角度推論出造成這 10 個(gè)風(fēng)險(xiǎn)較大的原因,從而得到了問(wèn)題的求解。另外,我們還對(duì)該數(shù)學(xué)模型進(jìn)行了優(yōu)化和改進(jìn),它可以推廣到許多問(wèn)題研究的領(lǐng)域中去。4符號(hào)說(shuō)明5 模型的建立與求解【問(wèn)題一】一、模型的準(zhǔn)備我們先從數(shù)據(jù)中提取出與土地儲(chǔ)備風(fēng)險(xiǎn)評(píng)估有關(guān)的財(cái)務(wù)指標(biāo),包括以下5項(xiàng):1.財(cái)務(wù)凈現(xiàn)值(FNPV)財(cái)務(wù)凈現(xiàn)值是指把項(xiàng)目計(jì)算期內(nèi)各年的財(cái)務(wù)凈現(xiàn)金流量,按照一個(gè)設(shè)定的標(biāo)準(zhǔn)折現(xiàn)率(基準(zhǔn)收益率)折算到建設(shè)期初(項(xiàng)目計(jì)算期第一

22、年年初)的現(xiàn)值之和。財(cái)務(wù)凈現(xiàn)值是考察項(xiàng)目在其計(jì)算期內(nèi)盈利能力的主要?jiǎng)討B(tài)評(píng)價(jià)指標(biāo)。如果項(xiàng)目財(cái)務(wù)凈現(xiàn)值等于或大于零, 表明項(xiàng)目的盈利能力達(dá)到或超過(guò)了所要求的盈利水平,項(xiàng)目財(cái)務(wù)上可行。2數(shù)學(xué)中國(guó)數(shù)學(xué)中國(guó)YY網(wǎng)校頻道:159214數(shù)學(xué)中國(guó)公眾微信平臺(tái):shuxuezhongguo序號(hào)符號(hào)符號(hào)說(shuō)明123456mi si wiu vFi第i行向量的均值 第i行向量的標(biāo)準(zhǔn)差變異系數(shù)理想最佳理想最劣綜合評(píng)價(jià)指數(shù)數(shù)學(xué)中國(guó)教師交流群:70339631數(shù)學(xué)中國(guó)參賽隊(duì)號(hào)#1464微博:/304456943 計(jì)算公式( - t )nFNP

23、V = ?(CI - CO)t (1 + i)t =0式中:CI現(xiàn)金流入量,CO現(xiàn)金流出量,(CI-CO)第t年凈現(xiàn)金流量,i基準(zhǔn)收益率財(cái)務(wù)凈現(xiàn)值率(FNPVR)是指項(xiàng)目財(cái)務(wù)凈現(xiàn)值與項(xiàng)目總投資之比。計(jì)算公式:FNPVFNPVR =IP式中:IP項(xiàng)目投資總額。2.財(cái)務(wù)內(nèi)部收益率(FIRR)財(cái)務(wù)內(nèi)部收益率是指項(xiàng)目在整個(gè)計(jì)算期內(nèi)各年財(cái)務(wù)凈現(xiàn)金流量的現(xiàn)值之和等于零時(shí)的折現(xiàn)率,也就是使項(xiàng)目的財(cái)務(wù)凈現(xiàn)值等于零時(shí)的折現(xiàn)率。財(cái)務(wù)內(nèi)部收益率是反映項(xiàng)目實(shí)際收益率的一個(gè)動(dòng)態(tài)指標(biāo),該指標(biāo)越大越好。一般情況下,財(cái)務(wù)內(nèi)部收益率大于等于基準(zhǔn)收益率時(shí),項(xiàng)目可行。表達(dá)式-tn?(CI - CO)t (1 + FIRR)= 0t

24、 =0式中: FIRR財(cái)務(wù)內(nèi)部收益率;CI現(xiàn)金流入量 ; CO現(xiàn)金流出量(CI-CO)第 t 期的凈現(xiàn)金流量3.項(xiàng)目投資收益率(ROI)項(xiàng)目投資收益率又稱投資利潤(rùn)率,是指投資收益(稅后)占投資成本的比率。投資收益率反映投資的收益能力,只有投資收益率指標(biāo)大于或等于無(wú)風(fēng)險(xiǎn)投資收益率的投資項(xiàng)目才具有財(cái)務(wù)可行性。排除企業(yè)操縱利潤(rùn)的嫌疑,一般情況下,項(xiàng)目投資收益率越大越好。計(jì)算公式:項(xiàng)目投資收益率 = 年平均利潤(rùn)總額項(xiàng)目投資總額4.自有投資資金利潤(rùn)率自有投資資金利潤(rùn)率是指投資收益(稅后)占項(xiàng)目總投資中的自有資金的比率。自有投資資金利潤(rùn)率反應(yīng)投資的運(yùn)營(yíng)能力,一般情況下,該指標(biāo)為效益型指標(biāo),越大越好 。計(jì)算

25、公式:自有投資資金利潤(rùn)率= 年平均利潤(rùn)總額自有投資資金5.動(dòng)態(tài)回收周期(Pt)動(dòng)態(tài)投資回收期就是凈現(xiàn)金流量累計(jì)現(xiàn)值等于零時(shí)的年份。只有當(dāng)項(xiàng)目的動(dòng)態(tài)回收期大于基準(zhǔn)回收期時(shí),才能在要求的時(shí)間內(nèi)收回投資,項(xiàng)目才具有可行性。該指標(biāo)反應(yīng)了投資3數(shù)學(xué)中國(guó)數(shù)學(xué)中國(guó)YY網(wǎng)校頻道:159214數(shù)學(xué)中國(guó)公眾微信平臺(tái):shuxuezhongguo3000025000200001500010000500001 4 7 10131619222528313437404346495255586164677073數(shù)學(xué)中國(guó)教師交流群:70339631數(shù)學(xué)中國(guó)參賽隊(duì)號(hào)#1464

26、微博:/304456943 的運(yùn)營(yíng)能力和盈利能力,一般情況下,動(dòng)態(tài)回收期越短越好。財(cái)務(wù)指標(biāo)1 財(cái)務(wù)凈現(xiàn)值2 財(cái)務(wù)內(nèi)部收益率3 項(xiàng)目投資收益率4 自有投資資金利潤(rùn)率5 動(dòng)態(tài)回收周期圖1-1 財(cái)務(wù)指標(biāo)結(jié)構(gòu)圖需要說(shuō)明的是,在所列的的五項(xiàng)財(cái)務(wù)指標(biāo)中,除了動(dòng)態(tài)回收周期為成本型指標(biāo),其余四項(xiàng)均為效益型指標(biāo)。二、模型的建立與求解首先進(jìn)行數(shù)據(jù)篩選,我們?yōu)榱舜_定這74個(gè)項(xiàng)目是否能夠盈利而對(duì)現(xiàn)金流量表進(jìn)行分析,發(fā)現(xiàn)所有項(xiàng)目的累計(jì)凈現(xiàn)金流量均大于零,初步說(shuō)明項(xiàng)目可行。累計(jì)凈現(xiàn)金流量300002500020000150001000050000序號(hào)1 4 7 101316192225283

27、13437404346495255586164677073圖12 累計(jì)凈現(xiàn)金流量表4數(shù)學(xué)中國(guó)數(shù)學(xué)中國(guó)YY網(wǎng)校頻道:159214數(shù)學(xué)中國(guó)公眾微信平臺(tái):shuxuezhongguo數(shù)學(xué)中國(guó)教師交流群:70339631數(shù)學(xué)中國(guó)參賽隊(duì)號(hào)#1464微博:/304456943 但是,在對(duì)當(dāng)年的現(xiàn)金流出的數(shù)據(jù)進(jìn)行分析時(shí),我們發(fā)現(xiàn)其中有4個(gè)項(xiàng)目的數(shù)據(jù)出現(xiàn)異常, 可能是工作人員錄入錯(cuò)誤或其他不可知的因素導(dǎo)致。為了避免其影響整體的分析結(jié)果,我們剔除這4個(gè)項(xiàng)目(編號(hào)為11、16、46、69),得到新的數(shù)據(jù)庫(kù)。第一年現(xiàn)金流出序列圖13現(xiàn)

28、金流出量表根據(jù)新數(shù)據(jù)中的庫(kù)財(cái)務(wù)凈現(xiàn)值、財(cái)務(wù)內(nèi)部收益率、項(xiàng)目投資收益率、自有投資資金利潤(rùn)率和動(dòng)態(tài)回收周期五項(xiàng)指標(biāo)構(gòu)建財(cái)務(wù)指標(biāo)數(shù)據(jù)表,并作出財(cái)務(wù)指標(biāo)數(shù)據(jù)矩陣 A = (aij ) 70?5? a11? a?a12L L OLa15aaA = ?212225?MMM?a?aa? 701705 ?702然后建立無(wú)量綱化數(shù)據(jù)矩陣:B=(bij) (i=1,2,370j=1,2,3,4,5)j ? 1,2,3,4j = 1,2,3,4? xij/ max xijb= ?jijmin x / xij?ijj利用Matlab我們得到:5數(shù)學(xué)中國(guó)數(shù)學(xué)中國(guó)YY網(wǎng)校頻道:159214數(shù)學(xué)中

29、國(guó)公眾微信平臺(tái):shuxuezhongguo1財(cái)2財(cái)3項(xiàng)4自5動(dòng)數(shù)學(xué)中國(guó)教師交流群:70339631數(shù)學(xué)中國(guó)參賽隊(duì)號(hào)#1464微博:/304456943 ? b11? bL L OL?b1222Mb702b1525MbbB = ?21M?b701b705 ?計(jì)算矩陣A各行向量的均值與標(biāo)準(zhǔn)差:70?(b - m) 2iji170m =?b , s =j =1iiji705(i=1,2,3,4,5)j =1(i=1,2,3,4,5)= si / mi然后計(jì)算變異系數(shù): wi最后根據(jù)程序1對(duì)變異系數(shù)歸一化得到各指標(biāo)的權(quán)向量為:w=0.05980

30、.22470.53930.08190.0944根據(jù)權(quán)重的大小,即可說(shuō)明五項(xiàng)財(cái)務(wù)指標(biāo)對(duì)土地儲(chǔ)備項(xiàng)目風(fēng)險(xiǎn)的影響。151財(cái)務(wù)內(nèi)部收益率422財(cái)務(wù)凈現(xiàn)值率3項(xiàng)目投資收益率自有投資資金利潤(rùn)率動(dòng)態(tài)回收周期453圖14 財(cái)務(wù)指標(biāo)權(quán)重圖由圖13可以看出,項(xiàng)目投資收益率所占的權(quán)重最大,超過(guò)了總權(quán)的百分之五十,其次是財(cái)務(wù)凈現(xiàn)值率,而財(cái)務(wù)內(nèi)部收益率、自有投資資金利潤(rùn)率和動(dòng)態(tài)回收期所占權(quán)重較小。所以項(xiàng)目投資收益率能比較直觀的反映出土地儲(chǔ)備項(xiàng)目風(fēng)險(xiǎn),在研究中可以作為初步風(fēng)險(xiǎn)評(píng)估6數(shù)學(xué)中國(guó)數(shù)學(xué)中國(guó)YY網(wǎng)校頻道:159214數(shù)學(xué)中國(guó)公眾微信平臺(tái):shuxuezhongguo數(shù)學(xué)中國(guó)教師交流群:70

31、339631數(shù)學(xué)中國(guó)參賽隊(duì)號(hào)#1464微博:/304456943 的標(biāo)準(zhǔn)。【問(wèn)題二】為了更加精確的判斷土地儲(chǔ)備項(xiàng)目的風(fēng)險(xiǎn)程度,以確保項(xiàng)目的可行性。下面采用綜合評(píng)價(jià)建模方法對(duì)數(shù)據(jù)進(jìn)行處理分析。根據(jù)問(wèn)題一的財(cái)務(wù)指標(biāo)數(shù)據(jù)矩陣A,我們先利用程序2和公式:max aij - aij- min aijaiju=jv=jijmax a- min aij- min ajmax ajijijijijjj和可得到理想最佳和最劣方案u=(0.80241.49971.19302.90151.0900)v=(0.12410.03420.60421.24361.78

32、00)用Matlab求出相對(duì)偏差矩陣為:R= 0.38041.00000.88710.89690.245800.94320.92690.55210.79820.37400.26050.81110.13990.68640.91550.79610.60550.76130.91510.76340.56020.79270.88340.86110.72730.72520.91270.64870.87940.77990.59190.53011.00000.92030.93250.48290.30210.96420.95370.70120.86890.57580.49400.87450.40590.7937

33、0.94800.86760.73170.84070.94460.84210.70040.86200.92340.90850.81740.81580.94330.76790.92150.85340.72300.31151.00000.88370.91040.261800.95860.94330.57790.82070.39630.27790.82610.15020.71180.93250.85760.61940.77740.92780.77940.57430.80810.89710.87560.74370.74120.92660.67440.89760.79570.60690.31950.839

34、10.74780.95770.228700.80570.79490.47470.68300.30480.21360.80110.11580.58670.78480.72021.00000.69590.77800.69460.51280.76640.77700.75580.63500.68840.66730.55360.77240.71300.53360.33331.00000.84060.82610.144900.89860.86960.40580.68120.24640.15940.69570.07250.53620.85510.68120.44930.62320.85510.62320.4

35、0580.66670.79710.76810.57970.57970.85510.49280.79710.65220.43487數(shù)學(xué)中國(guó)數(shù)學(xué)中國(guó)YY網(wǎng)校頻道:159214數(shù)學(xué)中國(guó)公眾微信平臺(tái):shuxuezhongguo數(shù)學(xué)中國(guó)教師交流群:70339631數(shù)學(xué)中國(guó)參賽隊(duì)號(hào)#1464微博:/304456943 0.80100.79270.63570.87560.83950.79200.74580.53550.81290.87840.68970.88660.74970.62390.70060.70600.85350.

36、66460.92970.73420.73420.66560.73090.57690.62940.68050.86700.51890.65810.71370.82500.87480.83520.73640.83890.79080.86270.8125T= 0.619600.11290.10310.75421.00000.05680.07310.86880.86340.75540.91870.89410.86230.83080.68480.87690.92080.79210.75460.83390.74720.80000.80380.90480.77530.95460.823100.77400.8

37、2060.71640.75060.78580.91300.67300.76960.80900.88460.91820.89200.82490.89440.86140.91030.87630.469900.07970.06750.51710.69790.03580.04630.81880.81130.65460.89110.85500.80920.76340.55250.83070.89420.70750.87480.76820.64280.71910.72460.84730.68350.94300.75260.75260.68050.74870.59900.64750.69830.88260.

38、53520.67450.73200.84150.89030.85260.75520.85610.80770.87920.82960.688500.11630.08960.73821.00000.04140.05670.73040.67460.53790.75720.82250.69870.75470.46820.72810.75020.64790.84840.65550.52910.64170.64810.76080.59210.84840.68130.68130.90710.68750.51200.53060.69780.73740.48300.72760.60950.73060.76870

39、.71600.63890.71650.75060.73520.68810.68050.16090.25220.04230.77131.00000.19430.20510.68120.66670.47830.79710.73910.66670.60870.37680.69570.79710.53620.81160.60870.46380.55070.56520.75360.50720.86960.59420.59420.50720.59420.42030.47830.53620.78260.36230.50720.56520.71010.78260.72460.59420.73910.66670

40、.76810.69570.666700.15940.17390.85511.00000.10140.13048數(shù)學(xué)中國(guó)數(shù)學(xué)中國(guó)YY網(wǎng)校頻道:159214數(shù)學(xué)中國(guó)公眾微信平臺(tái):shuxuezhongguo數(shù)學(xué)中國(guó)教師交流群:70339631數(shù)學(xué)中國(guó)參賽隊(duì)號(hào)#1464微博:/304456943 0.44790.20180.62600.73950.18890.86010.31360.08450.20390.39450.23870.08490.23660.43980.20730.11660.13890.27270.274

41、80.08730.35130.12060.22010.40810.19900.20730.36430.12440.16050.20800.25420.46450.18710.12160.31030.11340.25030.37610.29940.29400.14650.33540.07030.26580.26580.33440.26910.29880.13110.42420.50600.12550.59410.20630.05200.13240.26830.15930.05540.15790.29960.13800.07660.09150.18260.18420.05670.23210.078

42、50.14660.27700.13120.13660.24460.08130.10590.13770.16920.31520.12310.07920.20790.24540.16610.25280.20000.19620.09520.22470.04540.17691.00000.22600.17940.42210.17930.60370.72210.17390.84980.28820.06750.14240.38060.22260.07220.22060.42570.19190.10290.12440.25630.25880.07340.32560.10240.20430.39310.181

43、20.18870.34540.10890.14500.19080.23660.44750.16930.10580.29250.12520.23180.35720.28090.27540.15270.31650.05700.24740.24740.31950.25130.52530.31700.69520.78640.19890.88420.41330.21520.279800.30410.22200.30540.48720.23360.22300.24420.36500.31160.33270.44640.22760.28700.46640.26960.32540.46210.24280.17

44、750.30130.24530.53180.27190.24980.35210.15160.34450.47090.35830.35190.23920.40790.15160.31870.31870.09290.31250.59420.31880.75360.84060.30430.92750.46380.14490.31880.55070.37680.14490.37680.59420.33330.20290.23190.42030.42030.14490.50720.20290.34780.56520.31880.33330.52170.20290.26090.33330.39130.62

45、320.30430.20290.46380.18840.39130.53620.44930.43480.24640.49280.13040.40580.40580.49280.40589數(shù)學(xué)中國(guó)數(shù)學(xué)中國(guó)YY網(wǎng)校頻道:159214數(shù)學(xué)中國(guó)公眾微信平臺(tái):shuxuezhongguo數(shù)學(xué)中國(guó)教師交流群:70339631數(shù)學(xué)中國(guó)參賽隊(duì)號(hào)#1464微博:/304456943 0.42310.37060.31950.13300.48110.34190.28630.17500.12520.16480.26360.16110.2

46、0920.13730.18750.28360.24940.21420.08700.32700.23040.19100.11540.08180.10800.17510.10560.13860.08970.12370.40100.35250.30170.11740.46480.32550.26800.15850.10970.14740.24480.14390.19230.12080.17040.48800.46940.30220.26260.51700.27240.39050.26940.23130.28400.36110.28350.24940.26480.31190.57970.52170.4

47、6380.21740.63770.49280.43480.28990.21740.27540.40580.26090.33330.23190.3043將上述兩個(gè)矩陣的對(duì)應(yīng)列向量的夾角余弦作為初始權(quán)重,歸一化后得到客觀性權(quán)向量:W=( 0.19530.18850.18850.21800.2097)根據(jù)效益型矩陣公式j(luò) = 1,2,3,4j = 5? aijmax aijd = ?jijmin a .ijaij?( i = 1,2,3L70 )j建立效益型矩陣D= 0.67850.15470.25010.24180.79221.00000.20260.21650.53330.32530.68380

48、.77980.31430.88170.41970.22610.32700.48820.35640.22640.35470.52640.48190.02280.10060.08880.52810.70480.05770.06810.31480.15090.43730.51720.14540.60340.22440.07360.15220.28490.17840.07700.17710.31560.84630.50640.56380.55060.87081.00000.52680.53440.71480.59490.80440.86280.59220.92590.64870.53970.57670

49、.69430.61630.54200.61530.71650.81740.52060.57270.45280.86931.00000.53960.54580.72880.60970.82580.87790.54230.93380.66480.55160.58850.42860.60240.55550.60310.70700.82580.61240.65270.65660.91601.00000.63740.64500.79560.69870.86510.90830.69430.95610.74660.64880.69870.77860.71710.64880.71710.795610數(shù)學(xué)中國(guó)數(shù)學(xué)中國(guó)YY網(wǎng)校頻道:159214數(shù)學(xué)中國(guó)公眾微信平臺(tái):shuxuezhongguo數(shù)學(xué)中國(guó)教師交流群:70339631數(shù)學(xué)中國(guó)參賽隊(duì)號(hào)#1464微博:/304456943 0.32990.25320.2721

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