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https://www.researchgate.net/publication/4219448_Fuzzy_rule_extraction_from_support_vector_machines
This paper proposes a fuzzy rule extraction method from support vector machines. Support vector machines (SVM) are learning systems based on statistical learning theory that have been successfully ...
https://ieeexplore.ieee.org/document/1587770/
Abstract: This paper proposes a fuzzy rule extraction method from support vector machines. Support vector machines (SVM) are learning systems based on statistical learning theory that have been successfully applied to a wide variety of application.
https://www.sciencedirect.com/science/article/pii/S0925231210001591
Represented by the model support ... M. Vellasco, R. Tanscheit, Fuzzy rule extraction from support vector machines, in: Proceedings of the Fifth International Conference on Hybrid Intelligent Systems, 2005. ... B. BaesensRule extraction from support vector machines: an overview of issues and application in credit scoring. J. Diederich (Ed ...Cited by: 174
https://www.sciencedirect.com/science/article/pii/S0165011407001947
Keywords: Support vector machines; Fuzzy rule-based systems; Uninorms 1. Introduction Support vector machines (SVMs) are learning systems which solve two-class classification problems. They are based on statistical learning theory and have attracted increasing attention because of their optimal applications in speaker verification and ...Cited by: 63
https://www.researchgate.net/publication/222256776_Rule_extraction_from_support_vector_machines_A_review
Rule extraction from support vector machines: A review ... that facilitates the extraction of TSK fuzzy model from support vector machine, but also proposes a solution that allows optimization of ...
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3849760/
Rule extraction algorithm from fuzzy support vector machine. ... Experiment 4: as an instance of the rule-base generated by fuzzy support vector machine, we first apply SNR feature selection method on leukemia dataset and select three genes and then we set up fuzzy support vector machine classifier on those genes. We explore some ...Cited by: 10
https://www.semanticscholar.org/paper/Rule-extraction-from-support-vector-machines-N%C3%BA%C3%B1ez-Angulo/1a129126a237c69cf110132f2742b55d82dae38f
Support vector machines (SVMs) are learning systems based on the statistical learning theory, which are exhibiting good generalization ability on real data sets. Nevertheless, a possible limitation of SVM is that they generate black box models. In this work, a procedure for rule extraction from support vector machines is proposed: the SVM+Prototypes method. This method allows to give ...
https://dl.acm.org/citation.cfm?id=1276584
We're upgrading the ACM DL, and would like your input. Please sign up to review new features, functionality and page designs.Cited by: 63
https://link.springer.com/article/10.1007/s00521-012-1048-5
Jul 10, 2012 · This paper proposes a new method for fuzzy rule extraction from trained support vector machines (SVMs) for multi-class problems, named FREx_SVM. SVMs have been used in a variety of applications. However, they are considered “black box models,” where no interpretation about the input–output mapping is provided. Some methods to reduce this limitation have already been …Cited by: 11
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