Journal of System Simulation
Abstract
Abstract: The applications of generalized rough set theory were researched for the construction and optimization of radar anti-jamming performance evaluation index system. A mass of real-valued data was converted to some interval-valued data to avoid the difficulty of classification. The H'- information entropy-based information filling technique was employed to solve the problem of missing evaluation data. The E-condition entropy-based heuristic algorithm was applied to make attribute reduction, optimize evaluation index system, and extract final decision rules. The feasibility, validity and practicability of proposed method were testified by a simulation example.
Recommended Citation
Qi, Zongfeng; Shan, Han; and Li, Jianxun
(2020)
"Research on Radar Anti-jamming Performance Evaluation Index System Based on Rough Set Theory,"
Journal of System Simulation: Vol. 28:
Iss.
2, Article 11.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol28/iss2/11
First Page
335
Revised Date
2015-01-26
DOI Link
https://doi.org/
Last Page
342
CLC
TN973
Recommended Citation
Qi Zongfeng, Han Shan, Li Jianxun. Research on Radar Anti-jamming Performance Evaluation Index System Based on Rough Set Theory[J]. Journal of System Simulation, 2016, 28(2): 335-342.
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