Open AccessSelection of unployed aircraft for training of small-range aircraft defense system AHP - TOPSIS optimization methods
Author(s) -
Ðordje Djukic,
Ivan Petrović,
Darko Božanić,
Boris Delibašić
Publication year - 2022
Publication title -
yugoslav journal of operations research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.221
H-Index - 21
eISSN - 1820-743X
pISSN - 0354-0243
DOI - 10.2298/yjor211125007d
Subject(s) - topsis , operations research , weighting , ranking (information retrieval) , analytic hierarchy process , computer science , ideal solution , selection (genetic algorithm) , training (meteorology) , range (aeronautics) , multiple criteria decision analysis , artificial intelligence , engineering , medicine , physics , meteorology , radiology , aerospace engineering , thermodynamics
The article solves the problem of more efficient and economical training of combat crews on short range air defense systems. The training so far is based on the use of conventional means, which require engagement of a large number of people, expensive equipment, long-term planning and spending a lot of time and space. The use of unmanned aerial vehicles - drones, greatly saves all these resources. Our mathematical model, using the methods of multicriteria decision-making - Analytical Hierarchical Processes (AHP) and optimization - The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), determines the weighting coefficients and then ranks alternatives or, the ranking for drone selection, which would replace classical means for training and coaching so meeting all parameters and characteristics of the training itself and the training equipment. The methods first prioritize the selection criteria, and then, based on their importance, concretize the solution among the offered alternatives.