首页> 外文会议>International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference >A NEW PROJECT PLANNING MODEL FOR BETTER HANDLING VAGUENESS AND UNCERTAINTY OF REAL WORLD TASKS WITH AHP AND FUZZY NUMBERS
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A NEW PROJECT PLANNING MODEL FOR BETTER HANDLING VAGUENESS AND UNCERTAINTY OF REAL WORLD TASKS WITH AHP AND FUZZY NUMBERS

机译:一种新的项目规划模式,可以更好地处理具有AHP和模糊数的现实世界任务的模糊和不确定性

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One of the most important problems of project management is the decision of task durations in the projects. The duration of each task and cumulative durations of the successive tasks generally results in the success or fail of that project. While the common practice is to use natural numbers for task duration, they generally fail to match the real world results. In order to obtain more realistic results, researchers used fuzzy numbers which resulted in an important improvement of estimations but with the vagueness and uncertainty of the business world, they still require improvement. In our study, we used fuzzy numbers with AHP to determine task durations and adapt them to real world, first we separately find the levels of vagueness and uncertainty of tasks using AHP and then we use these categories to manipulate our fuzzy membership function for better prediction of tasks' durations and certainty levels so we can provide a more accurate project plan with more realistic task durations.
机译:项目管理最重要的问题之一是项目中任务持续时间的决定。每个任务的持续时间和连续任务的累积持续时间通常会导致该项目的成功或失败。虽然常见做法是使用自然数进行任务持续时间,但它们通常无法匹配真实世界的结果。为了获得更现实的结果,研究人员使用模糊数量,导致估计的重要改进,但具有商业世界的模糊和不确定性,他们仍然需要改进。在我们的研究中,我们使用AHP的模糊数来确定任务持续时间并使它们调整到现实世界,首先我们将使用AHP分开找到无序的模糊和不确定性,然后我们使用这些类别来操纵我们的模糊会员函数以便更好地进行更好的预测任务的持续时间和确定性水平使我们可以提供更准确的项目计划,具有更现实的任务持续时间。

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