Modeling perspective for the relevant market of voice services: Mobile to Mobile
DOI:
https://doi.org/10.18537/mskn.06.02.13Keywords:
telecommunications forescasting, state space models, neural networks, fuzzy logic, marketing, model selectionAbstract
The markets, associated to -mobile to mobile- services of voice, in Advanced Mobile Telecommunications services in Latin America have been subject to dominant operator regulatory processes, which are necessary to attain the market conditions for optimal competition. Specifically in Ecuador, the Governmental Control Organism (Superintendence of Telecommunications) developed a model of the market to identify the convenient regulatory control actions of the Dominant Operator Regulation to achieve longterm sustainable competition in the market. The manuscript addresses the application of control systems engineering for the development of an integrated model of the market, using a neural network for the forecasting of tariffs and a neuro-fuzzy model for demand prediction. Marketing strategies for operators in this market were modeled though fuzzy inference systems and validated with real data.
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