Results 251 to 260 of about 228,705 (301)
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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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On the representation of fuzzy rules in terms of crisp rules
Information Sciences, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dubois, Didier +2 more
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On the interpretation of fuzzy if then rules
Applied Intelligence, 1996The basic algorithm for reasoning in the fuzzy systems modeling method is introduced. Two classes of operators for interpreting the rules in these models are described, the Mamdani-Zadeh operator and the logical operator. The basic characteristics of these operators are presented and it is shown that the two classes of operators are distinguished by ...
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Fuzzy logic and the calculus of fuzzy if-then rules
[1992] Proceedings The Twenty-Second International Symposium on Multiple-Valued Logic, 2003Summary form only given. Fuzzy logic and the calculus of fuzzy if-then rules are reviewed. The agenda of the calculus of fuzzy if-then rules is set forth briefly. Their importance is discussed. >
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Fuzzy reasoning based on generalized fuzzy If-Then rules
International Journal of Intelligent Systems, 2002Summary: This paper focuses on a fuzzy reasoning method based on a generalized If-Then rule. Firstly, the antecedent and the consequent of an If-Then rule are considered and expressed as a component of a kind of binary \(L\)-type fuzzy relation on the product of the universes of discourse and the range of definition for a certain fuzzy attribute.
Yang Xu 0001 +3 more
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Fuzzy rules generation from data through fuzzy evaluation of fuzzy rules
KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516), 2002This paper deals with generating fuzzy rules from numerical data. The rule evaluation which is necessary in order to determine rule fitness with respect to given data is often based on mere heuristics and usually lacks in semantic interpretation. The method proposed in this paper is based on two central ideas which face these shortcomings.
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On fuzzy association rules based on fuzzy cardinalities
10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2002The paper discusses the benefit of using fuzzy sets in data summaries based on generalized association rules. Fuzzy sets provide a convenient interface between labels and data and allow for partial belonging to connex but distinct classes. They thus offer a robust reading of the data.
Bosc, Patrick +3 more
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Fuzzy neural network with relational fuzzy rules
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, 2000The paper presents a fuzzy neural network whose structure accounts for relations between input variables of the system under consideration. This modification results in a simple fuzzy model with improved approximation accuracy. An example of nonlinear time series prediction using the proposed fuzzy neural network is also included.
Adam E. Gaweda, Jacek M. Zurada
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INCORPORATING FUZZINESS INTO ACTIVE RULES
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2008Knowledge intensive applications require an intelligent environment, which can perform deductions in response to user queries or events that occur inside or outside of the applications. For that, we propose a fuzzy active object-oriented database for modeling knowledge intensive applications.
Burcin Bostan-Korpeoglu, Adnan Yazici
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