Output functions of fuzzy automata
Jiří Močkoř, Renata Smolíková (1995)
Acta Mathematica et Informatica Universitatis Ostraviensis
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Jiří Močkoř, Renata Smolíková (1995)
Acta Mathematica et Informatica Universitatis Ostraviensis
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Oscar Cordón, María José del Jesús, Francisco Herrera (1998)
Mathware and Soft Computing
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Fuzzy Rule-Based Systems have been succesfully applied to pattern classification problems. In this type of classification systems, the classical Fuzzy Reasoning Method classifies a new example with the consequent of the rule with the greatest degree of association. By using this reasoning method, we do not consider the information provided by the other rules that are also compatible (have also been fired) with this example. In this paper we analyze this problem and propose...
Krzysztof Simiński (2010)
International Journal of Applied Mathematics and Computer Science
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The paper discusses the problem of rule weight tuning in neuro-fuzzy systems with parameterized consequences in which rule weights and the activation of the rules are not interchangeable. Some heuristic methods of rule weight computation in neuro-fuzzy systems with a hierarchical input domain partition and parameterized consequences are proposed. Several heuristics with experimental results showing the advantage of their usage are presented.
Michał Pająk (2008)
Control and Cybernetics
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Juan Miguel Medina, Olga Pons, M. Amparo Vila (1994)
Mathware and Soft Computing
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This paper reports an alternative for implementing an SQL fuzzy extension on a Fuzzy Relational Database System. This proposal tries to build an FSQL processor using representation and manipulation mechanisms offered by the RDBMS which operates as a host. For this purpose, we are based our work on the formulation of a theoretical model of Fuzzy Relational Databases, on the adoption of a scheme for the representation and implementation of fuzzy information on conventional RDBMS, and on...
Dwijesh Dutta Majumder (1985)
Aplikace matematiky
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Fuzzy set theory, a recent generalization of classical set theory, has attracted the attention of researchers working in various areas including pattern recognition, which has had a seminal influence in the development of this new theory. This paper attempts to discuss some of the methodologies that have been suggested for pattern recognition, and techniques for image processing and speech recognition.