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Article type: Research Article
Authors: Chrysafis, Konstantinos A. | Papadopoulos, Basil K.
Affiliations: Section of Mathematics and Management, Department of Civil Engineering, School of Engineering, Democritus University of Thrace, Xanthi, Greece
Note: [] Corresponding author. Konstantinos A. Chrysafis, Section of Mathematics and Management, Department of Civil Engineering, School of Engineering, Democritus University of Thrace, Vasilisis Sofias 12, 67100 Xanthi, Greece. E-mail: [email protected]
Abstract: Taking into account the intrinsic drawbacks of both classic and fuzzy PERT, the authors present a new approach in an attempt to deal with them. The tools for this approach are fuzzy statistics and fuzzy probabilities. A necessary condition for this approach is the existence of statistical data for the project activity duration. The final findings are the fuzzy activity times (earliest/latest start – earliest/latest finish), the fuzzy float, the Criticality Degree both for each activity and for each path, a fuzzy probability for the activity duration to be in a certain time interval and a fuzzy probability for the project completion time to be in certain time interval. A numerical example is provided for thorough comprehension.
Keywords: Project management, scheduling, fuzzy probability, fuzzy statistics
DOI: 10.3233/IFS-120751
Journal: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 2, pp. 577-587, 2014
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