[1]DUAN Haibin,MA Guanjun,ZHAO Zhenyu.UCAV situation assessment based on fuzzy rules and dynamic ant colony-Bayesian network[J].CAAI Transactions on Intelligent Systems,2013,8(2):119-127.[doi:10.3969/j.issn.1673-4785.201211031]
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UCAV situation assessment based on fuzzy rules and dynamic ant colony-Bayesian network

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 8 Number of periods: 2013 2 Page number: 119-127 Column: 学术论文—智能系统 Public date: 2013-04-25
Title:
UCAV situation assessment based on fuzzy rules and dynamic ant colony-Bayesian network
Author(s):
DUAN Haibin1;  MA Guanjun2;  ZHAO Zhenyu3
1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;
2. Beijing Aerospace Automatic Control Institute, Beijing 100854, China;
3. Science and Technology on Electro-Optic Control Laboratory, Luoyang 471009, China
Keywords:
unmanned combat aerial vehicle (UCAV);  situation assessment;  fuzzy rules;  ant colony optimization;  Bayesian network
CLC:
TP18
DOI:
10.3969/j.issn.1673-4785.201211031
Abstract:
In order to solve the challenging problem of unmanned combat aerial vehicles(UCAV) situation assessment in complex environments, based on the introduction of ant colony optimization, Bayesian network and mathematical model, a hybrid fuzzy rules and dynamic ant colony-Bayesian network was proposed in efforts to examine the situation assessment of UCAVs. The incomplete data was converted into a complete data packet by using a dynamic ant colony-Bayesian network, which can greatly simplify the complexity of learning, and ensure that the algorithm evolves into good structure. The dynamic ant colony-Bayesian network algorithm was improved by using fuzzy logic. The expert’s experience was adopted in the form of fuzzy language and rules. The single value assessment results were combined with the probability vector to evaluate the capacity level of UCAVs at different times, increase the intelligence of situation assessment, and practicality of engineering application. A series of experiments verified the feasibility and effectiveness of the proposed hybrid method for situation assessment of UCAVs in the complicated combat environment.
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