A modified fuzzy approach to project team selection

Sunny Joseph Kalayathankal , Joseph Varghese Kureethara , Samayan Narayanamoorthy
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引用次数: 7

Abstract

Selecting a team for executing a project is not an easy task. As any project involves monetary implications, management of a company employs a careful approach in choosing a project team. Several variations of Multi Criteria Decision Making (MCDM) Models are available in the literature and practice. We propose a modified intutionistic fuzzy approach to project team selection. We have combined the MCDM with dynamic weightage for each parameter. The main design parameters in this model are the conversion of input data into the fuzzified form, design of non - membership grade and the calculation of indeterministic values from membership and non- membership grades. Finally, the fuzzified output is converted into a crisp set, known as defuzzification. This method helps in determining the most skilled candidates in the order of their ability from a group of applicants.

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项目团队选择的改进模糊方法
选择一个团队来执行一个项目并不是一件容易的事。由于任何项目都涉及到财务问题,公司的管理层在选择项目团队时都要谨慎。多准则决策(MCDM)模型的几种变体在文献和实践中可用。我们提出了一种改进的直觉模糊方法来选择项目团队。我们将MCDM与每个参数的动态权重相结合。该模型的主要设计参数为输入数据的模糊化转换、非隶属度等级的设计以及隶属度和非隶属度等级的不确定性值的计算。最后,模糊化的输出被转换成一个清晰的集合,称为去模糊化。这种方法有助于从一群申请人中按能力顺序确定最熟练的候选人。
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