International Journal of Control and Automation Vol. 11, No. 8 (2018), pp.39-50 http//dx.doi.org/10.14257/ijca.2018.11.8.04 ISSN: 2005-4297 IJCA Copyright © 2018 SERSC Australia Towards a New Approach to Rationalize the Operators' Choice in Telecommunication Networks 1 Driss Ait Omar 1 , Mohamed Baslam 2 , Mourad Nachaoui 3 and Mohamed Fakir 4 1,2,4 Information Processing and Decision Support Laboratory, Faculty of Sciences and Technics, University of Sultan Moulay Slimane, Beni Mellal, Morocco 3 Mathematics and Applications Laboratory, Faculty of Sciences and Technics, University of Sultan Moulay Slimane, Beni Mellal, Morocco 1 aitomard@gmail.com, 2 baslam.med@gmail.com, 3 nachaoui@gmail.com, 4 fakfad@yahoo.fr Abstract Optimization is an essential tool in the field of decision support. In this paper, we interested to study an inverse problem applied in the telecommunication networks. Indeed, in the telecommunication networks, service providers have subscription offers to customers. Since competition is strong in this sector, most of these advertising offerings, totally or partially ambiguous, are prepared to attract the attention of consumers. For this reason, customers face problems in making decisions about the choice of the operators that gives them a better report price/QoS. Mathematical modeling of this decision support problem led to the resolution of an inverse problem. More precisely, the inverse problem is to find the function of the QoS real knowing the QoS theoretical or advertising. This model will help customers who seek to know the degree of sincerity of their operators, as well as it is an opportunity for operators who want to maintain their resources so that they gain the trust of customers. We have used the Genetic Algorithm to resolve the optimization problem proposed in our work. We were able to learn that when the SP bandwidth increase their weight in the system increase, because they able to offers a better quality of services. However, when their demand increase without changing the bandwidth, the quality of services decreases with their weight. Keywords: Telecommunication Networks, QoS, Pricing, Inverse problem, Optimization, Genetic Algorithm 1. Introduction In the recent years, the privatization and liberation of services in telecommunication networks sectors lead to a diversification of services providers. This diversity leads to strong competition between them, each of which tries to attract and / or retain customers. Since do not give true information about their systems (client confusion), customers do not have complete information to make a good decision. This confusion present an obstacle to customers to have all the information on the operator’s offer. For it, consumer confusion has been studied as an important in many markets due to dynamics, such as over choice, excessive marketing communications, and similar tariffs and promotions. Hence, in the presence of confusion, the customer’s choice is often uncertain (bounded rationality). Telecommunication networks also have been considered in the economic literature as one of the sectors that causes confusion among consumers [13]. Complex fee structures introduced by service providers, number portability, loyalty Received (March 10, 2018), Review Result (May 10, 2018), Accepted (May 15, 2018)