This study proposes a wireless propagation fuzzy prediction model that allows the traditional model to express the fuzzy radio wave consumption evaluation range after accepting uncertain parameter input. In the example, it is found that the proposed fuzzy Walfisch-Bertoni model is more suitable for the actual radio wave loss situation of this experiment. The results also verify the feasibility of the wireless telemetry wave propagation fuzzy prediction model and its effectiveness in providing users with the results of the radio wave spatial loss fuzzy range value under uncertain environments.
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