A fuzzy clustering method for multidimensional parameter selection in system with uncertain parameters
説明
The authors present a new multivariate analysis method for multidimensional parameter selection in such problems as controller design for nonlinear systems or other systems for which analytical solutions are not available. The method is based on the fuzzy clustering technique. This new multivariate analysis method is based on the most popular fuzzy clustering algorithm, the fuzzy c-means algorithm (FCM). To apply the FCM method to multivariate binary analysis an effective distance replaces the distance as originally defined in FCM, and a distance weight is defined. Together, they allow the finding of pass regions in the parameter space, and the estimation of the number of pass regions. >
収録刊行物
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- [1992 Proceedings] IEEE International Conference on Fuzzy Systems
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[1992 Proceedings] IEEE International Conference on Fuzzy Systems 355-362, 2003-01-02
IEEE
