Data-driven Design of Fuzzy System With Rational Input Partition
نویسندگان
چکیده
An approach to data-driven linguistic modeling is presented. The methodology is based on a fuzzy system with relational input partition that allows for transparent modeling of linear dependencies between the inputs. An identification algorithm for this type of fuzzy system is proposed. It automatically finds strongest dependencies from numerical data. An application example illustrates the usefulness of the proposed approach.
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