Application of Analytic Hierarchy Process in fuzzy logic-based meteorological support system of unmanned aerial vehicles

Abstract

This article aims to present the potential connection point of the analytic hierarchy process (AHP) and the fuzzy logic–based analog forecasting method. When we try to find the most similar situations with an analog forecasting system, we can be confronted with the problem of the different importance of different meteorological parameters. We can solve this problem by weighting the individual variables. We applied AHP to determine the correct weights. The preliminary results of a case study show the effectiveness of this application in analog forecasting support systems for unmanned aerial vehicles (UAVs).