Fuzzy Mathematical Model For Optimizing Success Criteria Of Projects: A Project Management Application

Authors

  • Mohammad Sammany Faculty of Sciences, Department of Mathematics, University of Aleppo, Syria
  • Ahmad Steef Faculty of Informatics Engineering, Idlib University, Syria
  • Nedaa Agami Faculty of Computers and Artificial Intelligence, Operations Research Department, Cairo University, Cairo
  • T. Medhat Department of Electrical Engineering, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh 33516, Egypt

Keywords:

Project Management, Criteria Optimization, Fuzzy Mathematical Model

Abstract

It is well known over the recent years that measuring the success of projects under the umbrella of project management is inextricably linked with the associated cost, time, and quality. Most of the previous researches in the field assigned a separate mathematical model for each criterion, then numerical methods or search techniques were applied to obtain the optimal trade-off between the three criteria. However in this paper, the problem was addressed by linear multi-objective optimization using only one fuzzy mathematical model. The three criteria were merged in a single non-linear membership function to find the optimal trade-off. Finally, the proposed model is tested and validated using numerical examples.

 

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Published

2020-10-31

How to Cite

[1]
M. Sammany, A. Steef, N. Agami, and T. Medhat, “Fuzzy Mathematical Model For Optimizing Success Criteria Of Projects: A Project Management Application”, Int. J. Sci. Res. Comp. Sci. Eng., vol. 8, no. 5, pp. 77–83, Oct. 2020.

Issue

Vol. 8 No. 5 (2020): October

Section

Research Article

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