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APPLICATION OF FUZZY AHP FOR RANKING AND SELECTION OF ALTERNATIVES IN CONSTRUCTION PROJECT MANAGEMENT

机译:模糊层次分析法在建设项目管理中替代方案的排序与选择中的应用

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摘要

The construction project management (CPM) is very important and large segment of entire project management (PM). Realisation of construction projects is usually long term process which requests significant financial, material, human and other resources to fulfil contracted obligations and achieve a good quality of works. Therefore, making good decisions with the satisfaction of various criteria is one of the main conditions to achieve planed business objectives and finish the project in contracted time with good quality. This paper proposes a new procedure for determination of the weights of criteria and alternatives in the Fuzzy analytic hierarchy process (FAHP) with trapezoidal fuzzy number using a new method for finding eigenvelues and eigenvectors of the criteria and alternatives, which is based on expected values of the fuzzy numbers and their products. Local and global fuzzy weights of the alternatives are determined using linear programming. In the paper a formula for ranking fuzzy numbers by reduced generalized fuzzy mean is also proposed, since ranking by the coefficient of variation is not always reliable. In the presented case study, applying proposed method, from imprecise input data are obtained enough accurate and useful results for rational ranking of alternatives related to the project realization.
机译:建设项目管理(CPM)非常重要,是整个项目管理(PM)的很大一部分。建设项目的实现通常是长期的过程,需要大量的财力,物力,人力和其他资源来履行合同义务并取得良好的工程质量。因此,满足各种标准的良好决策是实现计划的业务目标并在约定的时间内以高质量完成项目的主要条件之一。本文提出了一种新的方法来确定梯形模糊数的模糊层次分析法(FAHP)中准则和备选方案的权重,该方法使用一种新方法来寻找准则和备选方案的特征值和特征向量,该方法基于期望值模糊数及其乘积。使用线性规划确定备选方案的局部和全局模糊权重。本文还提出了一种用减少的广义模糊均值对模糊数进行排序的公式,因为按变异系数进行排序并不总是可靠的。在提出的案例研究中,应用提出的方法,从不精确的输入数据中获得足够准确和有用的结果,以合理地对与项目实现相关的替代方案进行排名。

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