Sunny Joseph Kalayathankal , Joseph Varghese Kureethara , Samayan Narayanamoorthy
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A modified fuzzy approach to project team selection
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.