@article {10.3844/ajassp.2012.1940.1943,
article_type = {journal},
title = {Path Loss Prediction Using Fuzzy Inference System and Ellipsoidal Rules},
author = {Versaci, Mario and Calcagno, Salvatore and Foresta, Fabio La and Cammaroto, Biagio},
volume = {9},
year = {2012},
month = {Dec},
pages = {1940-1943},
doi = {10.3844/ajassp.2012.1940.1943},
url = {https://thescipub.com/abstract/ajassp.2012.1940.1943},
abstract = {It is well known as the prediction of radio wave path loss in urban environment plays a key role in order to correctly plan wireless systems and mobile communication networks. To obtain more flexible prediction models able to give accurate results, in recent years Soft computing Techniques has been exploited. In this study, a novel approach based on ellipsoidal fuzzy inference system EFIS is investigated. Results compared with those provided by the Okumura Hata model and the standard Fuzzy Inference System approach (FIS) show superior performances of the EFIS approach.},
journal = {American Journal of Applied Sciences},
publisher = {Science Publications}
}