Title :
Project management: using fuzzy logic and the Dempster-Shafer theory of evidence to select team members for the project duration
Author :
Shipley, Margaret F. ; Dykman, Charlene A. ; De Korvin, André
Author_Institution :
Houston Univ., TX, USA
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
Keywords :
fuzzy logic; human resource management; information systems; personnel; software development management; systems analysis; Dempster-Shafer evidence theory; IS multiattribute decision making problem; belief; candidates; changing skill requirements; expert evaluation; fuzzy logic; iterative process; plausibility; potential team member classification; potential team member skill; project duration; project management; skills level; team member selection; uncertainty; Assembly systems; Business; Contracts; Databases; Decision making; Fuzzy logic; Management information systems; Project management; Solids; Uncertainty;
Conference_Titel :
Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
Conference_Location :
New York, NY
Print_ISBN :
0-7803-5211-4
DOI :
10.1109/NAFIPS.1999.781772