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Special Issue on Fuzzy Rule Interpolation
Journal of Advanced Computational Intelligence and Intelligent Informatics, 2011 Fuzzy Rule Interpolation (FRI) methods are well known tools for reasoning in case of insufficient knowledge expressed as sparse fuzzy rule-bases. It also provides a simple way to define fuzzy functions. Despite these advantages, FRI techniques are relatively rarely applied in practice.
Szilveszter Kov cs
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D-FRI-Honeypot: A Secure Sting Operation for Hacking the Hackers Using Dynamic Fuzzy Rule Interpolation [PDF]
IEEE Transactions on Emerging Topics in Computational Intelligence, 2020 As active network defence systems, honeypots are commonly used as a decoy to inspect attackers and their attack tactics in order to improve the cybersecurity infrastructure of an organisation.
Nitin Naik +3 more
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Fuzzy Rule Interpolation Methods Based on Sparse Rule Bases
International Journal of Computer Science & Information Technology (IJCSIT)Fuzzy rule interpolation algorithms have broad applications in computational fuzzy inference systems. This paper systematically introduces interpolation methods based on α-cuts.
Pan Su, Xueying Ren
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Journal of Robotics and Control (JRC)Traditional fuzzy reasoning techniques demand a condensed fuzzy rule base to conclude a result. Still, due to incomplete data or a deficiency of expertise and knowledge, dense rule bases are not always available.
Maen Alzubi +4 more
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A Novel Framework of Fuzzy Rule Interpolation for Takagi-Sugeno-Kang Inference Systems
IEEE International Conference on Fuzzy Systems, 2019 Fuzzy rule interpolation (FRI) technique has been proposed to infer conclusions for unmatched instances when a fuzzy rule-based system is presented with a sparse rule base.
Pu Zhang, Qiang Shen
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Building a cognizant honeypot for detecting active fingerprinting attacks using dynamic fuzzy rule interpolation [PDF]
Expert Syst. J. Knowl. Eng., 2020 Dynamic fuzzy rule interpolation (D‐FRI) technique delivers a dynamic rule base through the utilisation of fuzzy rule interpolation to infer more accurate results for a given application problem. D‐FRI offered dynamic rule base is very useful in security
Nitin Naik +3 more
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Numerical Simulation of Fuzzy Volterra Integro-differential Equation using Improved Runge-Kutta Method [PDF]
Journal of Applied and Computational Mechanics, 2023 In this research, fourth-order Improved Runge-Kutta method with three stages for solving fuzzy Volterra integro-differential (FVID) equations of the second kind under the concept of generalized Hukuhara differentiability is proposed. The advantage of the
Faranak Rabiei +6 more
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Prediction of MAG Welding Formation Based on Fuzzy Interpolation Reasoning
Applied Sciences, 2023 Welding is an important production and processing method in industrial production. Due to the uncertainty of its process and the complexity of its mechanism, it is challenging to construct an accurate welding process parameter model to describe it. Fuzzy
Zufu Pan +3 more
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Fuzzy Rule Interpolation and SNMP-MIB for Emerging Network Abnormality [PDF]
International Journal on Advanced Science, Engineering and Information Technology, 2018 It is difficult to implement an efficient detection approach for Intrusion Detection Systems (IDS) and many factors contribute to this challenge. One such challenge concerns establishing adequate boundaries and finding a proper data source.
Mohammad Almseidin +2 more
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