基于区间值犹豫模糊集的施工评标方法研究

发布时间：2018-01-10 09:26

本文关键词：基于区间值犹豫模糊集的施工评标方法研究　出处：《西南交通大学》2017年硕士论文　论文类型：学位论文

【摘要】：招投标是一种国际惯例,其突出特点是公开、公平、公正,使工程建设项目的各参与方行为更加规范。评标则是根据规定的评标准则以及方法,对各投标单位提交的投标书评价和分析,从众多单位中选出合理中标人的过程。评标是招投标工作中十分关键的工作,评标中公平、公正、科学的行为,决定着整个招投标工作能否实现公平与公正。评标结果不仅影响着项目的造价同时也影响着项目的质量,所以选择有效的评标方法有助于提高招投标的质量。而我国现行的评标方法仍存在着不足,影响了评标工作做出合理的决策。因此,本文从一个新的角度思考评标方法,在模糊数学的基础上,提出以犹豫度为出发点,建立基于区间值犹豫模糊集的评标模型,并以实际案例进行演算,对投标单位进行优劣排序。本文以施工评标作为研究目标,梳理了我国相关施工评标方法,并进一步对我国现行的施工评标方法的应用进行了介绍,总结了目前评标中所存在的问题。接着通过对区间值犹豫模糊集理论发展历程的介绍,将区间值犹豫模糊集与评标方法中所存在的共同点联系起来,将犹豫度应用于指标权重的计算中,解决了指标权重分配的问题。最后将区间值犹豫模糊集的得分函数与偏差函数应用于施工评标打分中。经过的案例的计算,在考虑了各指标权重的基础上运用改进的评标模型对候选人进行了优劣排序。此方法在一定程度上对专家打分的不确定性进行了刻画,在传统的模糊数学的基础上,利用了考虑指标权重的区间值犹豫模糊集打分模型,使改进后的模型更加适用于施工评标。
[Abstract]:Bidding is a kind of international practice, the characteristics of openness, fairness, justice, so that all parties involved in the action of engineering construction projects more standardized. The evaluation is based on the evaluation standards and methods, tender evaluation and analysis submitted by the bidders, from many units to select the winner process the bid evaluation is a very important work. In the bidding, bid fair, impartial, scientific behavior decides the bidding work can achieve fairness and justice. The evaluation results not only affects the project cost at the same time also affect the project quality, so the choice of evaluation methods and effective help to improve the quality of bidding while our current evaluation method is still insufficient, affect the evaluation work to make reasonable decision. Therefore, this article thought from a new angle evaluation method based on fuzzy mathematics, put forward to Hesitancy degree as the starting point, establish the evaluation model of interval valued hesitant fuzzy set based on the calculus and the actual case, ordering of the tendering units. This paper takes the construction tender evaluation as the research target, combing the relevant Chinese construction bid evaluation method, and further to the construction of our current evaluation methods are introduced in this paper at present, summarizes the problems existing in the evaluation. Then based on the interval valued hesitant fuzzy set theory development course, the interval value together to the hesitant fuzzy sets and evaluation methods, the calculation of index weights applied to hesitate in solving the index weight distribution problem. Finally the interval valued hesitant fuzzy set score function and error function is applied to the construction of evaluation grading. By calculating the case, based on the weight of each index using the improved evaluation model The candidates were ranked. This method to a certain extent to the expert scoring uncertainty are described, based on fuzzy mathematics on the traditional use of the interval index weight value hesitant fuzzy set scoring model, the improved model is more suitable for the construction of the evaluation.

【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TU723.2

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