By Robert Babuška
To immediately generate fuzzy versions from measurements, a accomplished technique is built which employs fuzzy clustering ideas to partition the to be had information into subsets characterised through in the community linear behaviour. The relationships among the awarded id strategy and linear regression are exploited, permitting for the mix of fuzzy good judgment recommendations with ordinary procedure id instruments. awareness is paid to the trade-off among the accuracy and transparency of the bought fuzzy versions. keep watch over layout according to a fuzzy version of a nonlinear dynamic procedure is addressed, utilizing the ideas of model-based predictive regulate and inner version keep an eye on with an inverted fuzzy version. To this finish, tips on how to precisely invert particular sorts of fuzzy types are awarded. within the context of predictive keep an eye on, branch-and-bound optimization is utilized.
the most good points of the awarded suggestions are illustrated by way of skill of easy examples. furthermore, 3 real-world purposes are defined. ultimately, software program instruments for development fuzzy types from measurements can be found from the author.
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