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Mapping the Fuzzy Semantic Model into Fuzzy Object Relational database Model
, 2015 Jandoubi, Sabrine +3 more
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Parameter Self-Adjusting Single-Mode Fiber Nutation Coupling Algorithm Based on Fuzzy Control. [PDF]
Sensors (Basel)Liu Y +7 more
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Mining fuzzy association rules
Proceedings of the sixth international conference on Information and knowledge management, 1997 In his paper, we introduce a novel technique, called F-APACS, for mining jkzy association rules. &istlng algorithms involve discretizing the domains of quantitative attrilmtes into intervals so as to discover quantitative association rules. i%ese intervals may not be concise and meaning@ enough for human experts to easily obtain nontrivial knowledge ...
Keith C. C. Chan, Wai-Ho Au
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On Fuzzy Confirmation Measures of Fuzzy Association Rules
, 2020 Many researchers from different sciences focused their attention on quantifying the degree to which an antecedent in a rule supports a conclusion. This long-standing problem results to be particularly interesting in the case of fuzzy association rules between a fuzzy antecedent and a fuzzy consequence: in fact, rules become much more flexible in ...
Celotto Emilio +2 more
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Mining fuzzy association rules in databases
ACM SIGMOD Record, 1998 Data mining is the discovery of previously unknown, potentially useful and hidden knowledge in databases. In this paper, we concentrate on the discovery of association rules. Many algorithms have been proposed to find association rules in databases with binary attributes. We introduce the fuzzy association rules of the form, 'If
Chan Man Kuok +2 more
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Discovering fuzzy association rules using fuzzy partition methods
Knowledge-Based Systems, 2003Fuzzy association rules described by the natural language are well suited for the thinking of human subjects and will help to increase the flexibility for supporting users in making decisions or designing the fuzzy systems. In this paper, a new algorithm named fuzzy grids based rules mining algorithm (FGBRMA) is proposed to generate fuzzy association ...
Yi-Chung Hu +2 more
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Meta-Fuzzy Items for Fuzzy Association Rules
2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021A 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 +3 more
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