چكيده به لاتين
One of the most important concerns of project managers is the completion of the project in the approved budget, planned schedule, with covering all the project scope. The earned value management system is a valuable methodology in analyzing and controlling project performance that enables accurate measurement of project progress and timely decision making for corrective actions. The indexes of earned value management method are all cost-based, using the earned duration management (EDM) method that utilizes time-based indicators to control project time performance can improve control and prediction of project time. In many projects, the amount (or quantity) of work is approximate, such as project progress reports, which are the basis of Earned Value calculations. This information is taken for granted in the base models, due to the uncertain nature of projects, the analysis of performance indicators and the predictions carried out by the basic models may not be consistent with the reality of the project. In this study, type II fuzzy logic is used to deal with uncertainty. First, we model the EVM and EDM Methods acquired with interval type II fuzzy Sets, and considering the secondary membership function as a triangular,General Type II fuzzy Sets is used to model them. This method can be used to combine expert opinions in situations where the uncertainty is high and expert opinions differ. In General Type II fuzzy Sets each of these ideas can be weighted for have more proximity to reality. A method is also proposed to reduce the volume of general type II fuzzy computations
