
Application of Analytic Hierarchy Process in Fuzzy Logic–based Meteorological Support System of Unmanned Aerial Vehicles
Author(s) -
Zoltán Tuba,
Vidnyánszky Zoltán,
Zsolt Bottyán,
Ferenc Wantuch,
Hadobács Katalin
Publication year - 2013
Publication title -
academic and applied research in military and public management science
Language(s) - English
Resource type - Journals
eISSN - 2786-0744
pISSN - 2498-5392
DOI - 10.32565/aarms.2013.2.5
Subject(s) - weighting , analytic hierarchy process , fuzzy logic , computer science , hierarchy , process (computing) , point (geometry) , operations research , artificial intelligence , engineering , mathematics , medicine , geometry , economics , market economy , radiology , operating system
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 sys- tems for unmanned aerial vehicles (UAVs).