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Detection of Fuzzy Association Rules by Fuzzy Transforms [PDF]
Advances in Fuzzy Systems, 2012 We present a new method based on the use of fuzzy transforms for detecting coarse-grained association rules in the datasets. The fuzzy association rules are represented in the form of linguistic expressions and we introduce a pre-processing phase to ...
Ferdinando Di Martino, Salvatore Sessa
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FUZZY INFERENCE SYSTEMS BASE ON POLYNOMIAL CONSEQUENTS OF FUZZY RULES [PDF]
Scientific Journal of Astana IT University, 2020 Various fuzzy inference systems that operate on the basis of polynomial consequents of fuzzy rules. As well as inference methods for such systems, in particular, Takagi-Sugeno fuzzy inference systems, their differences from other popular fuzzy systems ...
R. Ponomarenko, A. Dyka
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Research of Fuzzy PID Rule Optimization Based on Improved Bat Algorithm [PDF]
Jisuanji gongcheng, 2020 Fuzzy control rules are the core of fuzzy PID controllers.Optimization of fuzzy control rules usually requires specific methods to optimize and weaken the correlation between fuzzy control rules,which affects the calculation efficiency and control ...
DU Xuewu, ZHANG Mingxin, SHA Guangtao, WU Qiuyu
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Neuro-fuzzy model of fuzzy rules formation for objects state evaluation in conditions of uncertainty [PDF]
Компьютерные исследования и моделирование, 2019 This article solves the problem of constructing a neuro-fuzzy model of fuzzy rules formation and using them for objects state evaluation in conditions of uncertainty.
Alexey S. Katasev
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Applied Sciences, 2021 In this research, we introduce a classification procedure based on rule induction and fuzzy reasoning. The classifier generalizes attribute information to handle uncertainty, which often occurs in real data.
Martin Tabakov +3 more
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Selecting Correct Methods to Extract Fuzzy Rules from Artificial Neural Network
Mathematics, 2021 Artificial neural network (ANN) inherently cannot explain in a comprehensible form how a given decision or output is generated, which limits its extensive use.
Xiao Tan +3 more
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An Efficient Inductive Genetic Learning Algorithm for Fuzzy Relational Rules [PDF]
International Journal of Computational Intelligence Systems, 2012 Fuzzy modelling research has traditionally focused on certain types of fuzzy rules. However, the use of alternative rule models could improve the ability of fuzzy systems to represent a specific problem.
Antonio González +3 more
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Improvement of Rule Generation Methods for Fuzzy Controller [PDF]
Journal of Artificial Intelligence and Data Mining, 2020 This paper proposes fuzzy modeling using obtained data. Fuzzy system is known as knowledge-based or rule-bases system. The most important part of fuzzy system is rule-base.
N. Mohammadkarimi, V. Derhami
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Self-Evolving Fuzzy Controller Composed of Univariate Fuzzy Control Rules
Applied Sciences, 2020 The paper proposes a methodology to online self-evolve direct fuzzy logic controllers (FLCs), to deal with unknown and time-varying dynamics. The proposed methodology self-designs the controller, where fuzzy control rules can be added or removed ...
Jérôme Mendes +3 more
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A Broad TSK Fuzzy Classifier with a Simplified Set of Fuzzy Rules for Class-Imbalanced Learning
Mathematics, 2023 With the expansion of data scale and diversity, the issue of class imbalance has become increasingly salient. The current methods, including oversampling and under-sampling, exhibit limitations in handling complex data, leading to overfitting, loss of ...
Jinghong Zhang +6 more
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