Open AccessAir Combat Situation Assessment Based on Improved RS Theory
Author(s) -
Huiming Ji,
Han Qiao,
Minjian Yu,
Xuyu Li,
Zhenxing Zhang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1302/4/042020
Subject(s) - air combat , rough set , key (lock) , discretization , set (abstract data type) , computer science , operations research , artificial intelligence , data mining , mathematics , simulation , computer security , mathematical analysis , programming language
In order to improve the ability of the extraction and weight distribution of key air combat factors in air combat situation assessment, this paper improves the rough set theory and establishes an improved rough set theory air combat situation assessment model. Firstly, the air combat information is discretized and decoupled. Then, the improved rough set theory is used to reduce and assign the attributes, and the air combat situation is calculated and evaluated. Finally, the effectiveness of the model is verified by simulation.