Fuzzy Rule Interpolation for Multidimensional Input Spaces With Applications: A Case Study
Fuzzy rule based systems have been very popular in many engineering applications. However, when generating fuzzy rules from the available information, this may result in a sparse fuzzy rule base. Fuzzy rule interpolation techniques have been established to solve the problems encountered in processing sparse fuzzy rule bases. In most engineering applications, the use of more than one input variable is common, however, the majority of the fuzzy rule interpolation techniques only present detailed...[Show more]
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|Source:||IEEE Transactions on Fuzzy Systems|
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