In this study, an AHP-based method integrated with fuzzy logic is deployed to estimate Project Weight Values (PWVs). Two criteria, namely man-hour and work preference, are used as input in the model to estimate their related weights. Man-hour and work preference are assumed to be deterministic and fuzzy respectively. The fuzzy nature allows deployment of linguistic variables during PWV estimation. The study uses a numerical example for demonstrating the application of the proposed approach. If desired, the model discussed here can be further extended to capture other aspects of interest in the estimation of PWV such as: the required time, budget, etc. A reliable perspective for actual progress of a project is thus provided. It is shown that the proposed approach can be applied to other aspects of a project such as project close up and capital budgeting applications. The approach proposed by this study can be used as an initial step in order to implement an earned value management system.