Project management: using fuzzy logic and the Dempster-Shafer theory of evidence to select team members for the project duration

M. F. Shipley, C. Dykman, A. de Korvin
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引用次数: 6

Abstract

Fuzzy logic and the Dempster-Shafer theory of evidence is applied to an IS multiattribute decision making problem whereby the project manager must select project team members from candidates, none of whom may exactly satisfy the ideal level of skills needed at any point in time. The decision mechanism is constrained by the uncertainty inherent in the determination of the relative importance of each skill and the classification of potential team members. This latter uncertainty of potential team membership is addressed through expert evaluation of the degree to which each potential ream member possesses each skill. Then the belief and plausibility that a candidate will satisfy the decision maker's ideal skill levels are calculated and combined to rank order the available candidates. The changing skill requirements are addressed through an iterative process for each project phase.
项目管理:运用模糊逻辑和邓普斯特-谢弗证据理论选择项目持续时间内的团队成员
模糊逻辑和Dempster-Shafer证据理论被应用于一个is多属性决策问题,即项目经理必须从候选人中选择项目团队成员,其中没有一个人可以在任何时间点完全满足所需的理想技能水平。决策机制受到每项技能相对重要性的确定和潜在团队成员的分类中固有的不确定性的约束。潜在团队成员的后一种不确定性是通过专家评估每个潜在团队成员拥有每种技能的程度来解决的。然后计算候选人满足决策者理想技能水平的可信度和可信性,并将其结合起来对候选人进行排序。通过每个项目阶段的迭代过程来处理不断变化的技能需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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