基于云模型的装配式建筑工程评标办法研究

发布时间：2018-01-21 09:28

本文关键词： 装配式建筑评标办法云模型 G1法　出处：《江西理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：环境保护是我国的基本国策,绿色发展的理念随之成了共同意识。建筑行业作为支柱行业,推广绿色建筑的推广成了趋势之需。传统建造方式的种种弊端与可持续发展格格不入,装配式建筑恰恰成为了最佳的代替方式。装配式建筑实施的好坏受到招投标活动的直接影响,其中评标办法的选择为关键影响因素。为了更好的实现装配式建筑的管理,需借鉴招投标活动中通用的招标流程和评标办法,再结合装配式建筑自身的项目特征采用符合装配式建筑实际招标需求的评标办法,以期为后期项目质量、成本和速度做好前期铺垫。本文针对传统评标办法处理定性概念存在的缺陷,鉴于云模型可以将定性概念转化为定量概念时不可避免的模糊性和随机性进行集成,构建定性和定量指标之间的一一映射的优势,提出应用云模型来对定性和定量概念进行转换。在探究投标者评价问题过程中发现,传统评标办法存在指标选取过于主观、指标筛选步骤缺失和在指标权重设置不合理等问题。针对此类问题,本文在指标选取和权重设置上进行了改进。本文通过对装配式建筑的全面分析、文献研究和专家访谈将指标体系设置为三层。目标层为最优投标者,一级指标通常设置为三个一级指标,本文将装配式建筑工程项目十分重视设计部分的特点和文献研究结论进行结合,最终分析确定为四个一级指标,特别的将设计部分内容单独提出作为一级指标。二级指标则是将皮尔逊的X^2检验和主成分分析法进行结合,进行范围内的二级指标筛选,最终得出十四个二级指标。确定指标体系后,本文为弥补普遍采用的层次分析法和熵权法存在着不够客观性和科学性的缺陷,使权重设置方法更加简单易操作,比较分析后采用G1法来进行指标权重的计算。为使得每个指标评价都可以用云来表示,需要对经过G1法赋权后的指标进行云处理,使定性和定量指标都能够用云的三个数字特征表示。定性指标由专家打出评分,得到评分后利用matlab程序得到最大和最小云的三个数字特征,最后利用综合云公式得到定性指标的云表示。定量指标的处理则是通过判别指标类型,然后经过正向和逆向指标的对应的计算方法得出定量指标的云表示。得到各个指标的评价云值后,与通过黄金分割率法得到评价的标准云进行比较,最终确定中标单位。本文将六安市凤凰苑小区二期住宅产业化工程作为本次论文案例,将基于云模型的装配式建筑评标办法应用到这个案例中,这种模型能够涵盖其他方法不能体现的信息,并且整个评价结果直观易懂.模型运行结果也表现出很好的鲁棒性具有实用性。
[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.
【学位授予单位】：江西理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F284

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