An ε- Optimal Strategy of Algorithmic Game Theory for Project Selection under Fuzziness

Abstract

Software project success or failure depends on the ineffective software project management. Success or failure of any project can be attributed by incorrect handling of one or more project variables such as people, proper technology, proper project scheduling and selection. Among these attributes proper project selection is one of the most vital part of software project management. There exist many uncertainties in project management and current software engineering techniques are unable to eliminate them. So there is huge scope for developing. The current researchers have developed a unique model which is capable to take decision on the field of software project selection. This model has two embedded sub models namely fuzzy AHP (Analytic Hierarchy Process) and strategic game model. Here in the first case experts opinions are considered under fuzzy environment and in the second case, different decisions makers act as players in the game module. Different criteria are taken into consideration for choosing optimal strategy of the players. An elaborated case study is also analyzed for testing the output of the system.