摘要
为了克服数据缺失和不确定因素对项目全寿命周期成本评价的影响,将模糊理论引入到项目全寿命周期成本(LCC)的估算评价中。首先根据项目LCC的组成构建计算模型,然后利用三角模糊函数将变量模糊化,并依据Day-Stout-Warren(DSW)算法描点找到LCC模糊函数的变化趋势,最后由MATLAB将离散数据进行最小二乘曲线拟合,并采用等年值法(EAC)对不同寿命周期的成本方案进行评价选优。算例分析表明该方法有很强的数学操作性,明确了成本的估算区间,考虑了决策者的主观性并使方案的决策简单有效。
In order to overcome the impact of missing data and uncertain factors on project life-cycle cost evaluation,fuzzy theory is introduced into the evaluation of project Life-Cycle Cost(LCC).First of all,this paper establishes calculationmodel according to the composition of the project LCC,and then uses triangular fuzzy function to fuzzy up the variable.According to Day-Stout-Warren(DSW)algorithm to calculate the point so that the variation trend of fuzzy function can befound.Finally,the discretc data is fitted by MATLAB to the lease square curve EAC are used to evaluate the cost of differentlife cycle scheme.The numerical examples show that the method has a strong mathematical operation,the cost estimationinterval is defined,the decision-maker’s subjectivity is considered and the decision-making is simple and effective.
作者
梁喜
陈永鹏
LIANG Xi;CHEN Yongpeng(College of Economics & Management, Chongqing Jiaotong University, Chongqing 400074, China)
出处
《计算机工程与应用》
CSCD
北大核心
2017年第15期255-259,270,共6页
Computer Engineering and Applications
关键词
模糊理论
DSW算法
全寿命周期成本
曲线拟合
fuzzy theory
Day-Stout-Warren(DSW)algorithm
life-cycle cost
curve fitting
