Ellipsoidal Fuzzy Analysis of Path Attenuation in a Multi-Urban Environment

摘要

Path loss prediction in a multi-urban environment is presented in this paper. The multi-urban environments comprise seven identified environment for the study. Forecasting of the path loss in rural, and other areas such as urban, dense urban and so on performs a major part in order to effectively design wireless networks and mobile systems. Many researchers have exploited soft computing techniques to achieve accurate results over the years. However, in this paper, a unique novel approach of determining path loss employing ellipsoidal fuzzy inference set up is applied to the classified propagation environment. Adequate and reasonable results were obtained with superior Root Mean Square Error(RMSE) and Mean Absolute Percentage Error(MAPE) values for both 900MHz band and 1800MHz bands. Also, the optimal implementation is provided by both fuzzy logic type 2 and EFIS, which examined the path attenuation with an RMSE and a MAPE less than 2.17% for the 900MHz band and 2.64% for the 1800MHz band. It reveals again that the number of rules used in EFIS is lesser compared to the number of rules used in a fuzzy system, making EFIS a more preferable model.