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Incremental Fuzzy Association Rule Mining for Classification and Regression
IEEE Access, 2019 The aim of mining fuzzy association rules is to find both the association and the casual relationships between the itemsets. With the arrival of dynamic data, the fuzzy association rules should be updated in real time.
Ling Wang, Qian Ma, Jianyao Meng
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Identification of Evolving Rule-based Models. [PDF]
, 2002 An approach to identification of evolving fuzzy rule-based (eR) models is proposed. eR models implement a method for the noniterative update of both the rule-base structure and parameters by incremental unsupervised learning.
Angelov, Plamen, Buswell, Richard
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ComputersFuzzy systems are powerful modeling systems for uncertainty applications. In contrast to traditional crisp systems, fuzzy systems offer the opportunity to extend the binary decision to continuous space, which could offer benefits for various application ...
Mohammad Almseidin +4 more
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A modular CMOS analog fuzzy controller [PDF]
, 1997 The low/medium precision required for many fuzzy applications makes analog circuits natural candidates to design fuzzy chips with optimum speed/power figures.
Navas González, Rafael +2 more
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Fuzzy-Weighted Echo State Networks
Frontiers in Energy Research, 2022 A novel echo state network (ESN), referred to as a fuzzy-weighted echo state network (FWESN), is proposed by using the structural information of data sets to improve the performance of the classical ESN. The information is incorporated into the classical
Zhao Yao, Zhao Yao, Yingshun Li
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Time series forecasting using a TSK fuzzy system tuned with simulated annealing [PDF]
, 2010 In this paper, a combination of a Takagi-Sugeno fuzzy system (TSK) and simulated annealing is used to predict well known time series by searching for the best configuration of the fuzzy system.
Almaraashi, Majid +3 more
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Learning fuzzy inference systems using an adaptive membership function scheme [PDF]
, 1996 An adaptive membership function scheme for general additive fuzzy systems is proposed in this paper. The proposed scheme can adapt a proper membership function for any nonlinear input-output mapping, based upon a minimum number of rules and an initial ...
Lotfi, A, Tsoi, AC
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Fuzzy Meta-Association Rules [PDF]
Advances in Intelligent Systems Research, 2015 Association rules is a useful tool to extract new information from raw data expressed in a comprehensive way for decision makers. However, in some applications raw data might not be available for several reasons. First, stream data are only temporarily available for their processing or if it is stored, only summaries or representations of the extracted
M. Dolores Ruiz +4 more
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A Two-Phase Development of Fuzzy Rule-Based Model and Their Analysis
IEEE Access, 2019 Fuzzy rule-based models form a commonly encountered category of fuzzy models. As such they have enjoyed a great deal of conceptual and algorithmic developments followed by numerous case studies.
Dan Wang, Witold Pedrycz, Zhiwu Li
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IEEE Access, 2020 A monotone fuzzy rule relabeling (MFRR) algorithm has been introduced previously for tackling the issue of a non-monotone fuzzy rule base in the Takagi-Sugeno-Kang (TSK) Fuzzy Inference System (FIS).
Lie Meng Pang +3 more
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