Results 211 to 220 of about 18,237 (266)
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Fuzzy partition and fuzzy rule base
Information Sciences, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ma, Ming +2 more
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ON-LINE FUZZY RULE SET GENERATOR
IFAC Proceedings Volumes, 1989Abstract An alternative mathematical tool to yield a data model is presented. This model is represented by fuzzy conditional statements, where the premise has a fuzzy meaning and the consequence is a straight line. An algorithm is proposed to calculate the parameters of these statements. The inference method used is presented.
Lambert-Torres, Germano, D. MUKHEDKAR
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2008
In Chapters 6 and 8 we discussed separately symbolic rules for identifying membership functions to cluster and subsymbolic rules to learn functions that suitably translate a set of inputs into an output variable. Here we look for complete procedures performing both tasks having the final aim of computing suitable functions from input to output.
Bruno Apolloni +3 more
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In Chapters 6 and 8 we discussed separately symbolic rules for identifying membership functions to cluster and subsymbolic rules to learn functions that suitably translate a set of inputs into an output variable. Here we look for complete procedures performing both tasks having the final aim of computing suitable functions from input to output.
Bruno Apolloni +3 more
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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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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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On Fuzzy Confirmation Measures of Fuzzy Association Rules
2020Many 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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Fuzzy rule encoding techniques
Proceedings of 6th International Fuzzy Systems Conference, 2002Knowledge discovery in precise databases can be enhanced by introducing common sense knowledge expressed as fuzzy rules. The fuzzy rules catalyze database inference and manifest latent knowledge (facts and rules). This paper describes three techniques for generating new rule-based knowledge by combining other precise/fuzzy rules.
S. Roychowdhury, S. Shenoi
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2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 2018
The use of rule based learners has been highly motivated all these years because of their inherent properties of interpretability and comprehensibility, leading to the construction of user friendly exported models by keeping pace with propositional logic.
Aikaterini Karanikola +4 more
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The use of rule based learners has been highly motivated all these years because of their inherent properties of interpretability and comprehensibility, leading to the construction of user friendly exported models by keeping pace with propositional logic.
Aikaterini Karanikola +4 more
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FUZZY PATTERN RECOGNITION BY FUZZY INTEGRALS AND FUZZY RULES
2001We give an overview of the application of fuzzy rules and fuzzy integrals in classification, presenting the general methodology and illustrating it by giving real applications. Fuzzy rules have been most of the time devoted to fuzzy control, using the so-called “Mamdani rules”. Here we present a broader view of the topic in the framework of possibility
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Mining fuzzy association rules
Proceedings of the sixth international conference on Information and knowledge management, 1997In 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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2007
In this contribution, we will recall graded fuzzy rules introduced in [5] and explain the difference from the classical fuzzy rules. Moreover, properties of formulae, which are used to formalize the graded fuzzy rules, will be recalled.
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In this contribution, we will recall graded fuzzy rules introduced in [5] and explain the difference from the classical fuzzy rules. Moreover, properties of formulae, which are used to formalize the graded fuzzy rules, will be recalled.
openaire +1 more source