Fuzzy model tuning based on a training set with fuzzy model output values

Authors:
S. D. Shtovba
Affiliations:
Vinnitsa National Technical University, Vinnitsa, Ukraine
Venue:
Cybernetics and Systems Analysis
Year:
2007

Citing 5
Cited 0

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Abstract

The paper considers the training of a fuzzy model with the help of a training set with fuzzy model output values. Two ways are proposed for constructing fuzzy rule-based multifactor models that produce fuzzy numbers at their outputs. The problem of tuning such fuzzy models on the basis of a fuzzy training set is formulated, methods of its solution are considered, and relevant examples are presented. Computational experiments showed that training based on fuzzy data improves the modeling accuracy for both crisp and fuzzy test sets.