Results 1 to 10 of about 1,268 (239)
Towards Dynamic Fuzzy Rule Interpolation via Density-Based Rule Promotion from Interpolated Outcomes
Traditional fuzzy rule-based systems struggle with scenarios where knowledge gaps exist in the problem domain, due to limited data or experience. Fuzzy rule interpolation (FRI) effectively addresses the challenge of inference in fuzzy systems when faced ...
Jinle Lin, Changjing Shang, Qiang Shen
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Transformation-Based Fuzzy Rule Interpolation Using Interval Type-2 Fuzzy Sets [PDF]
In support of reasoning with sparse rule bases, fuzzy rule interpolation (FRI) offers a helpful inference mechanism for deriving an approximate conclusion when a given observation has no overlap with any rule in the existing rule base.
Chengyuan Chen, Qiang Shen
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Cyber-Phishing Website Detection Using Fuzzy Rule Interpolation
This paper introduces a novel detection method for phishing website attacks while avoiding the issues associated with the deficiencies of the knowledge-based representation and the binary decision. The suggested detection method was performed using Fuzzy
Mohammad Almseidin +3 more
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Numerical Simulation of Fuzzy Volterra Integro-differential Equation using Improved Runge-Kutta Method [PDF]
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
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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Hierarchical Bidirectional Fuzzy Rule Interpolation [PDF]
The “curse of dimensionality” and “sparse rule base” are two common and important problems in conventional fuzzy systems. Using hierarchical fuzzy systems is an effective way to deal with the “curse of dimensionality” problem, whilst fuzzy rule interpolation offers a useful means for enhancing the robustness of fuzzy models, making inference possible ...
Shangzhu Jin +3 more
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Generalized Adaptive Fuzzy Rule Interpolation [PDF]
As a substantial extension to fuzzy rule interpolation that works based on two neighbouring rules flanking an observation, adaptive fuzzy rule interpolation is able to restore system consistency when contradictory results are reached during interpolation. The approach first identifies the exhaustive sets of candidates, with each candidate consisting of
Longzhi Yang, Fei Chao, Qiang Shen
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Towards sparse rule base generation for fuzzy rule interpolation [PDF]
Fuzzy inference systems have been successfully applied to many real-world applications. Traditional fuzzy inference systems are only applicable to problems with dense rule bases by which the entire input domain is fully covered, whilst fuzzy rule interpolation (FRI) is also able to work with sparse rule bases that may not cover certain observations ...
Tan, Yao +5 more
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Online monitoring of gases dissolved in transformer oil is widely applied. Improving the performance of dissolved gas analysis (DGA)‐based fault diagnosis methods by exploring new features of time‐series data has become an appealing topic. In this study,
Yongliang Liang +3 more
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An Accurate Detection Approach for IoT Botnet Attacks Using Interpolation Reasoning Method
Nowadays, the rapid growth of technology delivers many new concepts and notations that aim to increase the efficiency and comfort of human life. One of these techniques is the Internet of Things (IoT). The IoT has been used to achieve efficient operation
Mohammad Almseidin, Mouhammd Alkasassbeh
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