.png){kind=icon}
返回
.png){kind=icon}
.png){kind=icon}
摘要
En 中文
Using PERT (Program evaluation and review technique), one assumes that the time required to carry out the individual tasks in a project can be approximated using a beta distribution. It is assumed that the parameters of these distributions (the minimum, maximum and most likely times) are estimated by experts in accordance with the properties of the beta distribution. However, this is not always the case. This article shows how one may analyse the time required to carry out a task. Two approaches to describing uncertainty regarding the duration of tasks are used: probabilistic and fuzzy. This article proposes a mixture of a beta probability distribution with a generative probability distribution to describe the duration of a task. An illustrative examples are given.
Keyword:
Project
Duration of a task
Fuzzy variable
Mixed probability distribution
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.5
论文数:
8.0K
被引数:
2.1W
机构
引用论文
.png){kind=icon}
Mixture densities for project management activity times: A robust approach to PERT项目管理活动时间的混合密度: PERT的稳健方法.png)
PREAI
.png){kind=icon}
分享.png){kind=icon}
收藏
查看更多内容