本文關(guān)鍵詞： 裝配式建筑 評標辦法 云模型 G1法　出處：《江西理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：環(huán)境保護是我國的基本國策,綠色發(fā)展的理念隨之成了共同意識。建筑行業(yè)作為支柱行業(yè),推廣綠色建筑的推廣成了趨勢之需。傳統(tǒng)建造方式的種種弊端與可持續(xù)發(fā)展格格不入,裝配式建筑恰恰成為了最佳的代替方式。裝配式建筑實施的好壞受到招投標活動的直接影響,其中評標辦法的選擇為關(guān)鍵影響因素。為了更好的實現(xiàn)裝配式建筑的管理,需借鑒招投標活動中通用的招標流程和評標辦法,再結(jié)合裝配式建筑自身的項目特征采用符合裝配式建筑實際招標需求的評標辦法,以期為后期項目質(zhì)量、成本和速度做好前期鋪墊。本文針對傳統(tǒng)評標辦法處理定性概念存在的缺陷,鑒于云模型可以將定性概念轉(zhuǎn)化為定量概念時不可避免的模糊性和隨機性進行集成,構(gòu)建定性和定量指標之間的一一映射的優(yōu)勢,提出應(yīng)用云模型來對定性和定量概念進行轉(zhuǎn)換。在探究投標者評價問題過程中發(fā)現(xiàn),傳統(tǒng)評標辦法存在指標選取過于主觀、指標篩選步驟缺失和在指標權(quán)重設(shè)置不合理等問題。針對此類問題,本文在指標選取和權(quán)重設(shè)置上進行了改進。本文通過對裝配式建筑的全面分析、文獻研究和專家訪談將指標體系設(shè)置為三層。目標層為最優(yōu)投標者,一級指標通常設(shè)置為三個一級指標,本文將裝配式建筑工程項目十分重視設(shè)計部分的特點和文獻研究結(jié)論進行結(jié)合,最終分析確定為四個一級指標,特別的將設(shè)計部分內(nèi)容單獨提出作為一級指標。二級指標則是將皮爾遜的X^2檢驗和主成分分析法進行結(jié)合,進行范圍內(nèi)的二級指標篩選,最終得出十四個二級指標。確定指標體系后,本文為彌補普遍采用的層次分析法和熵權(quán)法存在著不夠客觀性和科學(xué)性的缺陷,使權(quán)重設(shè)置方法更加簡單易操作,比較分析后采用G1法來進行指標權(quán)重的計算。為使得每個指標評價都可以用云來表示,需要對經(jīng)過G1法賦權(quán)后的指標進行云處理,使定性和定量指標都能夠用云的三個數(shù)字特征表示。定性指標由專家打出評分,得到評分后利用matlab程序得到最大和最小云的三個數(shù)字特征,最后利用綜合云公式得到定性指標的云表示。定量指標的處理則是通過判別指標類型,然后經(jīng)過正向和逆向指標的對應(yīng)的計算方法得出定量指標的云表示。得到各個指標的評價云值后,與通過黃金分割率法得到評價的標準云進行比較,最終確定中標單位。本文將六安市鳳凰苑小區(qū)二期住宅產(chǎn)業(yè)化工程作為本次論文案例,將基于云模型的裝配式建筑評標辦法應(yīng)用到這個案例中,這種模型能夠涵蓋其他方法不能體現(xiàn)的信息,并且整個評價結(jié)果直觀易懂.模型運行結(jié)果也表現(xiàn)出很好的魯棒性具有實用性。
[Abstract]:Environmental protection is China's basic national policy, the concept of green development has become a common consciousness. Construction industry as a pillar industry. The promotion of green buildings has become the trend of the need. The traditional way of construction of various drawbacks and sustainable development is incompatible. Assembly building has just become the best alternative. The implementation of assembly building is directly affected by bidding activities. The selection of bid evaluation method is the key factor. In order to better achieve the management of assembly building, it is necessary to draw lessons from the general bidding process and bid evaluation methods in bidding activities. Combined with the project characteristics of the assembly building, the bidding evaluation method is adopted to meet the actual bidding requirements of the assembly building, in order to improve the quality of the project in the later stage. The paper deals with the defects of the qualitative concept in view of the traditional bid evaluation method. In view of the cloud model can transform the qualitative concept into the quantitative concept of the inevitable fuzziness and randomness integration, build the qualitative and quantitative indicators between the advantages of mapping one by one. A cloud model is proposed to transform the qualitative and quantitative concepts. In the process of exploring the evaluation of bidders, it is found that the traditional bidding evaluation methods are too subjective to select indicators. The index selection and weight setting are improved in this paper. Through the comprehensive analysis of the prefabricated building, this paper makes a comprehensive analysis of the index selection and the weight setting in order to solve the problems such as the missing of the index screening steps and the unreasonable setting of the index weight. Literature research and expert interviews set the index system into three layers, the target level is the optimal bidder, and the first-level indicators are usually set to three first-level indicators. This paper combines the characteristics of the design part and the conclusion of the literature research, and finally determines the four first class indexes. In particular, the design part of the content is proposed as a single level of indicators. The second level of indicators is to combine Pearson's X ^ 2 test and principal component analysis to screen the secondary indicators within the scope. Finally, 14 secondary indicators are obtained. After the index system is determined, this paper makes up for the shortcomings of the commonly used AHP and entropy weight method, which are not objective and scientific enough, so that the weight setting method is more simple and easy to operate. In order to make each index evaluation can be expressed by cloud, it is necessary to deal with the index weighted by G1 method. The qualitative and quantitative indexes can be expressed by the three numerical features of the cloud, and the qualitative indexes are scored by the experts, and the three numerical features of the maximum and the smallest clouds are obtained by using the matlab program after the score is obtained. Finally, the cloud representation of the qualitative index is obtained by using the comprehensive cloud formula, and the processing of the quantitative index is by discriminating the type of the index. Then through the corresponding calculation method of forward and reverse index to get the cloud representation of quantitative index. After getting the evaluation cloud value of each index, it is compared with the standard cloud obtained by golden section rate method. This paper takes the second phase residential industrialization project of Fenghuangyuan Residential District in Lu'an as the case of this paper and applies the prefabricated architecture evaluation method based on cloud model to this case. This model can cover the information which other methods can not embody, and the whole evaluation result is intuitionistic and easy to understand, and the running result of the model also shows good robustness and practicability.
【學(xué)位授予單位】：江西理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：F284

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