Abstract
To increase the credibility of decision-making model for close-in air-combat, a type-2 fuzzy logic system (FLS) based approach is introduced into its production rule base, which traditionally neglects the uncertainty of human cognition. By defining its interval type-2 Gaussian membership function for its inputs and outputs, and renovating the traditional production rules into type-2 fuzzy rules, the type-2 FLS model is quickly built. The model employs interval type-2 fuzzy sets to simplify the fuzzy operation and type-reduction while keeping the uncertainty of experiential knowledge. Simulation results show the feasibility and credibility of this approach.
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Acknowledgment
In this paper, the research was sponsored by the National Nature Science Foundation (Project No. 61472441, 61573373).
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Wu, Hx., Huang, W., Zhang, P., Kang, F. (2016). Decision-Making Modeling of Close-In Air-Combat Based on Type-2 Fuzzy Logic System. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-10-2666-9_14
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DOI: https://doi.org/10.1007/978-981-10-2666-9_14
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