Project Management Efficiency –A Fuzzy Logic Approach
Vinay Kumar Nassa1, Sri Krishan Yadav2
1Vinay Kumar Nassa: Research Scholar,Singhania University Pacheri Bari, Jhunjhunu(Raj.),India.
2Dr. Sri Krishan Yadav : Prof. & HOD (Deptt. of Applied Sciences) Dronacharya College of Engineering, Gurgaon.
Manuscript received on January 17, 2012. | Revised Manuscript received on February 05, 2012. | Manuscript published on February 29, 2012. | PP: 34-38 | Volume-1 Issue-3, February 2012. | Retrieval Number: C0186011312/2011©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Fuzzy logic is a relatively new technique for solving engineering control problems. This technique can be easily used to implement systems ranging from simple, small or even embedded up to large. The objective of this paper is to present an approach that utilizes a fuzzy decision making system (FDMS) to quantify the Project Management Efficiency (PME). The algorithm developed in this paper is based upon fuzzy logic, giving it the ability to solve complex problems plagued with uncertainty and vagueness. A fuzzy decision making system is designed and implemented using the MATLAB Fuzzy Logic tool box for the evaluation of the PME. This algorithm once refined to each area under the industry of software development can be used for subsequent projects, saving large percentages of time, money, and effort, without sacrificing quality.
Keywords: Project management efficiency; Fuzzy decision making system; Fuzzy sets; Project time delay; Project time delay gradient.