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- Title
β Upper Approximation Reduction and Rule Fusion of Airborne Radar Fault Diagnosis.
- Authors
SUO Zhong-ying; CHENG Si-yi; REN Jin-shen
- Abstract
The acquisition of decisions with some extent reliability is one of important aids in airborne radar fault diagnosis. The β upper approximation reduction is firstly introduced, moreover β upper approximation discernibility sets and discernibility matrix are defined and the acquirement approach of β upper approximation reduction is given. Secondly, the rule fusion method is offered to sufficiently mine the attribute-value information and the decision-making rules with reliability cover all values of the attributes are obtained, which efficiently solve the rule fusion problem in the condition of the very different number among all fault kinds. Finally, taking a test of an airborne radar as an example, this paper cuts test parameter based on β upper approximation reduction and applies the rule fusion method to obtain the airborne radar fault diagnosis rules which cover all values of the attributes. Results show that the methods in this paper are visually effective and easy calculation, which offer a new though and approach for airborne radar fault diagnosis.
- Subjects
RADAR in aeronautics; ROUGH sets; SET theory; APPROXIMATION theory; RADAR research
- Publication
Telecommunication Engineering, 2014, Vol 54, Issue 10, p1446
- ISSN
1001-893X
- Publication type
Article
- DOI
10.3969/j.issn.1001-893x.2014.10.024