A Practical Approach To The Development Of A Decision-Supporting System Based On Fuzzy Neural Network In Information And Telecommunication Systems

Abstract

This paper presents the result of the approach to the development of a decision support system (DSS) to improve the chosen location of base stations (BS) of mobile systems. The system is designed to improve the reliability of the decision-making and forecasting of the dynamics of the mobile transceiver systems and devices based on the uncertainty influences of a different nature. Analysis of these problems shows that an effective solution to this issue is to use the principles of the fuzzy set theory (FST) and modern geographic information systems (GIS) taking into consideration the geographically distributed topology of the information and telecommunications systems (ITS) elements. As a tool, a neuro-fuzzy inference system (ANFIS) in a Matlab environment is used to develop the decision support system and to select an optimal place geographical information system (GIS) is applied to find installation places of base stations of mobile companies taking into consideration geographic characteristics of the region. It also has been found that effective monitoring of the ITS in such information provision conditions primarily depends on the degree of compression of the input information.