The rising of new technologies and services imposes significant changes to the traditional telecommunications system. The diversity of system evolution settings makes the planning stage an increasingly desirable procedure, mainly in a competitive environment. The use of comprehensive and flexible methodologies that can support the decision process, based in optimization mathematical models, seems to be indispensable. This paper proposes a mixed-integer linear programming model devoted to help the strategic planning of the telecommunication systems, and in the special of the access network. Major components of costs and revenues are identified. The model intends to determine the network configuration (services, technologies, etc.) which maximizes the expected revenue. In order to perform some techno-economical risk analyses in situations with lack of precision in the demand data, fuzzy sets concepts are adopted. Results of computational experiments are presented and discussed.
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