Rough-fuzzy rule interpolation
Information Sciences, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chengyuan Chen +2 more
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Transformation-Based Fuzzy Rule Interpolation Using Interval Type-2 Fuzzy Sets [PDF]
Algorithms, 2017 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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Backward Fuzzy Rule Interpolation [PDF]
IEEE Transactions on Fuzzy Systems, 2014 Shangzhu Jin, Ren Diao, Chai Quek
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Cyber-Phishing Website Detection Using Fuzzy Rule Interpolation [PDF]
Cryptography, 2022 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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Generalized Adaptive Fuzzy Rule Interpolation [PDF]
IEEE Transactions on Fuzzy Systems, 2016 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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EEG-Based Emotion Recognition with Combined Fuzzy Inference via Integrating Weighted Fuzzy Rule Inference and Interpolation [PDF]
MathematicsEmotions play a significant role in shaping psychological activities, behaviour, and interpersonal communication. Reflecting this importance, automated emotion classification has become a vital research area in artificial intelligence ...
Fangyi Li +5 more
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Enhancing the Artificial Rabbit Optimizer Using Fuzzy Rule Interpolation [PDF]
Big Data and Cognitive ComputingMetaheuristic optimization algorithms have demonstrated their effectiveness in solving complex optimization tasks, such as those related to Intrusion Detection Systems (IDSs).
Mohammad Almseidin
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A Generalized Concept for Fuzzy Rule Interpolation
IEEE Transactions on Fuzzy Systems, 2004 The concept of fuzzy rule interpolation in sparse rule bases was introduced in 1993. It has become a widely researched topic in recent years because of its unique merits in the topic of fuzzy rule base complexity reduction. The first implemented technique of fuzzy rule interpolation was termed as /spl alpha/-cut distance based fuzzy rule base ...
P Baranyi, L T Koczy, T D Gedeon
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Towards Dynamic Fuzzy Rule Interpolation via Density-Based Rule Promotion from Interpolated Outcomes [PDF]
MathematicsTraditional 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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Modelling the system behaviour of wet snow avalanches using an expert system approach for risk management on high alpine traffic roads [PDF]
Natural Hazards and Earth System Sciences, 2005 The presented approach describes a model for a rule-based expert system calculating the temporal variability of the release of wet snow avalanches, using the assumption of avalanche triggering without the loading of new snow.
A. Zischg +3 more
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