Due to the increase in energy demand, many countries suffer from energy poverty because of insufcient and expensive energy supply. Plans to use alternative povver like nuclear povver for electricity generation are being revived among developing countries. Decisions for installation of povver plants need to be based on careful assessment of future energy supply and demand, economic and financial implications and requirements for technology transfer. Since the problem involves many vague parameters, a fuzzy model should be an appropriate approach for dealing vvith this problem. This study develops a Fuzzy Multi-Objective Linear Programming (FMOLP) model for solving the nuclear povver plant installation problem in fuzzy environment. FMOLP approach is recommended for cases vvhere the objective functions are imprecise and can only be stated vvithin a certain threshold level. The proposed model attempts to minimize total duration time, total cost and maximize the total crash time of the installation project. By using FMOLP, the vveighted additive technique can also be applied in order to transform the model into Fuzzy Multiple VVeighted-Objective Linear Programming (FMVVOLP) to control the objective values such that ali decision makers target on each criterion can be met. The optimum solution vvith the achievement level for both of the models (FMOLP and FMVVOLP) are compared vvith each other. FMVVOLP results in better performance since the degree of the overall satisfaction does not simply impersonate the membership degree of the vvorst objective. Nuclear povver plant installation problem demonstrates the feasibility of applying the proposed models in real vvorld cases.