The paper describes a number of methods for long-term decision-making: Analytic Hierarchy Process with dynamic judgments that can be used for forecasting possible decisions’ implications Analytic Network Process that enables to prioritize alternatives in terms of mutual influence fuzzy in-ference technique for supporting the decision-making processes by modeling reasoning the method of logic synthesis of scenarios of complex systems’ be-havior, permitting to predict the future, taking into account the emergence of new trends and developments that could not be in the past. These methods were implemented in the intelligent software that has been tested in a few years with real problem solving in different subject fields, such as economics, innovation, management, conceptual designing, evaluation of intellectual cap-ital, and others.