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HADA: A Hybrid Authentication and Dynamic Attribute Access Control Mechanism for the Internet of Things Using Hyperledger Fabric Blockchain. [PDF]

Sensors (Basel)
Alshehri S.
europepmc   +1 more source

Virtual parking path planning in narrow roads based on fuzzy pure pursuit algorithm. [PDF]

PLoS One
Men Q, Wang Y, Cheng G, Zhang Z, Zhu X, Zhou H.   +5 more
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Introducing AI & Innovation

AI &Innovation, EarlyView.
Mirko Farina, Xiao Yu, Rongrong Ji, Chen Jin, Vincent Blok, Paolo Ciancarini, Ngcaweni Busani, Witold Pedrycz   +7 more
wiley   +1 more source

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Fuzzy Rule Interpolation with a Transformed Rule Base

2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021
Traditional fuzzy rule interpolation (FRI) methods typically utilise Euclidean distances between an observation and the rules in a given sparse rule base to select a set of rules closest to the observation to perform interpolation. However, simply applying the Euclidean distance metric may frequently lead to inferior results, because it cannot take ...
Mou Zhou, Changjing Shang, Guobin Li, Shangzhu Jin, Jun Peng 0008, Qiang Shen 0001   +5 more
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Fuzzy partition and fuzzy rule base

Information Sciences, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ming Ma 0001, I. Burhan Türksen, Abraham Kandel   +2 more
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Multiobjective genetic fuzzy rule selection with fuzzy relational rules

2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS), 2013
Genetic fuzzy rule selection has been frequently used for fuzzy rule-based classifier design. A number of its variants have also been proposed in the literature. In many studies on genetic fuzzy rule selection, each antecedent condition in fuzzy rules is given for a single input variable such as “x1 is small” and “x2 is large”.
Yusuke Nojima, Hisao Ishibuchi
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Meta-Fuzzy Items for Fuzzy Association Rules

2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021
A large number of systems with a great predictive capacity, such as Deep Learning, are being currently used to solve a wide variety of real problems. However, the models obtained are not easy to understand by scientists, giving rise to the field of eXplainable Artificial Intelligence, which encourage techniques that obtain accurate and understandable ...
Carmen Biedma-Rdguez, María José Gacto, Rafael Alcalá, Jesús Alcalá-Fdez   +3 more
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Determination of rule weights of fuzzy association rules

10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2002
In this paper, first we extend two basic measures of association rules in data mining (i.e, confidence and support) to the case of fuzzy association rules. The main difference between standard and fuzzy association rules is the discretization of continuous variables.
Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima   +2 more
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Fuzzy rule clustering

2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236), 2002
The concept of relevance has been proposed as a measure of the relative importance of sets of rules, allowing the development of a new methodology for organising the linguistic information: SLIM (Separation of Linguistic Information Methodology). Based on this concept and on this methodology, a new fuzzy clustering of fuzzy rules algorithm (FCFRA) is ...
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