Capital budgeting is based on the analysis of some financial parameters of considered investment projects. It is clear that estimation of investment efficiency, as well as any forecasting, is rather an uncertain problem. In a case of stock investment one can to some extent predict future profits using stock history and statistical methods, but only in a short time horizon. In the capital investment one usually deals with a business-plan which takes a long time — as a rule, some years — for its realization. In such cases, a description of uncertainty within a framework of traditional probability methods usually is impossible due to the absence of objective information about probabilities of future events. This is a reason for the growing for the last two decades interest in applications of interval and fuzzy methods in budgeting. In this paper a technique for fuzzy-interval evaluation of financial parameters is presented. The results of technique application in a form of fuzzy-interval and weighted non-fuzzy values for main financial parameters
as well as the quantitative estimation of risk of an investment are presented.Another problem is that one usually must consider a set of different local criteria based on financial parameters of investments. As its possible solution, a numerical method for optimization of future cash-flows based on the generalized project’s quality criterion in a form of compromise between local criteria of profit maximisation and financial risk minimisation is proposed.