Kuo-Chen Hung, Kuo-Ping Lin, Fu-Yuan Hsu, Chi-Kai Wang, Jen-Chang Lin
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引用次数: 2
Abstract
The grey prediction model, GM (1,1), with the property of processing with a minimum of data, has been successfully applied in various fields. However, applying grey prediction with rolling mechanism (GPRM) to predict radio-wave path-loss has not been widely investigated. Thus, this paper aims applying GPRM approach for the prediction of radio-wave path loss in suburban environment. Furthermore, a comparison has been discussed with traditional other radio-wave path-loss prediction approaches and the proposed approach. An illustrative example, we find that the GPRM method can effectively fitting the actual value than other current models. Consequently, this method can help designer to evaluate radio-wave path-loss in uncertain environment.
期刊介绍:
The journal is a forum of the highest professional quality for both scientists and practitioners to exchange ideas and publish new discoveries on a vast array of topics and issues in grey system. It aims to bring forth anything from either innovative to known theories or practical applications in grey system. It provides everyone opportunities to present, criticize, and discuss their findings and ideas with others. A number of areas of particular interest (but not limited) are listed as follows:
Grey mathematics-
Generator of Grey Sequences-
Grey Incidence Analysis Models-
Grey Clustering Evaluation Models-
Grey Prediction Models-
Grey Decision Making Models-
Grey Programming Models-
Grey Input and Output Models-
Grey Control-
Grey Game-
Practical Applications.