Abstract: In high frequency satellite systems prediction of channel characteristics can be of immense value in improving the quality of signals. Signal attenuation impacts QoS in wireless and satellite networks. An intelligent decision support system is therefore necessary for service providers by accurately calculating cloud, fog, rain, gaseous, and scintillation attenuations using predicted signal-weather correlated database in collaboration with ITU-R propagation models combined with gateway, and ground terminal characteristics. The effect becomes a key feature in adjusting and improving satellite signal power, modulation and coding schemes, monitored and controlled altogether by a powerful and efficient intelligent-based attenuation countermeasure system. Weather attenuations can have a distorting effect on signal fidelity at higher frequencies that lead to excessive digital transmission error. This loss of signal is commonly referred to as signal attenuation. Signal attenuation impacts QoS (Quality Of service) in wireless and satellite networks. An intelligent decision support system is therefore necessary for service providers by accurately calculating the attenuations [1]-[5]. In this project we are calculating rain attenuation. The fuzzy logic is added into the system. The fuzzy system will determine the ambiguous signal during the attenuation performed.