Abstract—Project managers are often facing the challenge of optimal allocation of resources to different project tasks involving different and usually conflicting objectives. The aim of this research is to simultaneously optimize the time, the cost, and the quality of a project by analyzing their trade-offs. To achieve this goal, the quality of a project task is first defined as a function of its time and cost. Then, a fuzzy rule-base is used to determine these functions more adequately. Next, the total project cost, the total project time, and the overall project quality are simultaneously optimized by a linear fuzzy multiobjective optimization model to decide the preferred mode of executing a task. An example is given at the end to show the applicability and the validity of the proposed methodology.
Index Terms—Multi-objective optimization, project time, cost and quality, fuzzy rule-base, software projects.
The authors are from the Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran (e-mail: Roya.mp@ie.sharif.com, Niaki@sharif.edu).
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Cite:Roya M. Ahari and S. T. A. Niaki, "Fuzzy Optimization in Cost, Time and Quality Trade-off in Software Projects with Quality Obtained by Fuzzy Rule Base," International Journal of Modeling and Optimization vol. 3, no. 2, pp. 176-179, 2013.
