Results 291 to 300 of about 96,386 (319)

Interpolation in homogenous fuzzy signature rule bases

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017
Fuzzy signature sets (FSigSets) are extensions of the original fuzzy set concept, and also of the Vector Valued Fuzzy Set notion. In a FSigSet rule base the (input) universe of discourse X is mapped into a set of hierarchically grouped fuzzy sets, and each element of X has a “membership degree” consisting of a rooted tree with membership degrees at ...
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Intelligent Dynamic Honeypot Enabled by Dynamic Fuzzy Rule Interpolation

2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2018
Dynamic fuzzy rule interpolation (D-FRI) utilises a transformation-based knowledge interpolation mechanism to maintain a concurrent rule base according to the requirements of a given application problem.
N. Naik, C. Shang, Q. Shen, Paul Jenkins
semanticscholar   +1 more source

An Alternative Backward Fuzzy Rule Interpolation Method

International Journal of Software Science and Computational Intelligence, 2014
Fuzzy set theory allows for the inclusion of vague human assessments in computing problems. Also, it provides an effective means for conflict resolution of multiple criteria and better assessment of options. Fuzzy rule interpolation offers a useful means for enhancing the robustness of fuzzy models by making inference possible in sparse rule-based ...
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Interpolation in structured fuzzy rule bases

[Proceedings 1993] Second IEEE International Conference on Fuzzy Systems, 2002
Fuzzy-rule-based systems are important in many control engineering applications. In real problems, often the number of input variables is very high, but a few or maximally a few dozen variables dominate the system in a certain area of the state space. The subset of variables changes when the working point changes.
L. Koczy, K. Hirota
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Vigilant Dynamic Honeypot Assisted by Dynamic Fuzzy Rule Interpolation

IEEE Symposium Series on Computational Intelligence, 2018
Dynamic Fuzzy Rule Interpolation (D-FRI) offers a dynamic rule base for fuzzy systems which is especially useful for systems with changing requirements and limited prior knowledge.
N. Naik, C. Shang, Q. Shen, Paul Jenkins
semanticscholar   +1 more source

Intrusion Detection System Enhanced by Hierarchical Bidirectional Fuzzy Rule Interpolation

IEEE International Conference on Systems, Man and Cybernetics, 2018
Intrusion detection system (IDS) is used to find malicious connections and protect networks from external or internal attacks. Various fuzzy or fuzzy intelligence approaches have been proposed in the development of IDS.
Shangzhu Jin, Yanling Jiang, Jun Peng
semanticscholar   +1 more source

Guiding Fuzzy Rule Interpolation with Information Gains

2016
Fuzzy rule interpolation enables fuzzy systems to perform inference with a sparse rule base. However, common approaches to fuzzy rule interpolation assume that rule antecedents are of equal significance while searching for rules to implement interpolation. As such, inaccurate or incorrect interpolated results may be produced.
Fangyi Li, Changjing Shang, Ying Li 0017, Qiang Shen 0001   +3 more
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Fuzzy Rule Interpolation based on Subsethood Values

2010 IEEE International Conference on Systems, Man and Cybernetics, 2010
Fuzzy rule interpolation methods make possible the development of fuzzy rule based systems applying a low complexity and compact rule base that contains only the most relevant rules. They are able to infer even in those regions of the antecedent space where there are no applicable rules.
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Fuzzy rule interpolation and reinforcement learning

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2017
Reinforcement Learning (RL) methods became popular decades ago and still maintain to be one of the mainstream topics in computational intelligence. Countless different RL methods and variants can be found in the literature, each one having its own advantages and disadvantages in a specific application domain.
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Rough-Fuzzy Rule Interpolation for Data-Driven Decision Making

UK Workshop on Computational Intelligence, 2021
Chengyuan Chen, Q. Shen
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