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• W2175694962 abstract "Interval Type-2 fuzzy systems have been shown to be extremely capable of handling vagueness as well as uncertainty in data, while complex-valued fuzzy sets have been demonstrated to be capable of solving classification problems efficiently. This paper combines their collective advantage to propose a complex-valued Interval Type-2 Fuzzy Inference System (referred to as CIT2FIS). To derive the fuzzy rules, a Recursive Least Squares based algorithm is proposed. The proposed algorithm evolves (add/ prune) and adapts the rules in an evolving online fashion." @default.
• W2175694962 created "2016-06-24" @default.
• W2175694962 creator A5073989080 @default.
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• W2175694962 date "2015-08-01" @default.
• W2175694962 modified "2023-09-22" @default.
• W2175694962 title "Evolving Complex-Valued Interval Type-2 Fuzzy Inference System" @default.
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• W2175694962 doi "https://doi.org/10.1109/fuzz-ieee.2015.7338088" @default.
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