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Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2021.3136359
Abstract: When a fuzzy system is presented with an incomplete (or sparse) rule base, fuzzy rule interpolation (FRI) offers a useful mechanism to infer conclusions for unmatched observations. However, most existing FRI methodologies are established for…
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Keywords:
interpolation neighbors;
rule;
fuzzy rule;
rule interpolation ... See more keywords
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Published in 2017 at "Algorithms"
DOI: 10.3390/a10030091
Abstract: In support of reasoning with sparse rule bases, fuzzy rule interpolation (FRI) offers a helpful inference mechanism for deriving an approximate conclusion when a given observation has no overlap with any rule in the existing…
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Keywords:
type fuzzy;
fuzzy sets;
rule interpolation;
rule ... See more keywords
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Published in 2024 at "Mathematics"
DOI: 10.3390/math12030402
Abstract: Traditional fuzzy rule-based systems struggle with scenarios where knowledge gaps exist in the problem domain, due to limited data or experience. Fuzzy rule interpolation (FRI) effectively addresses the challenge of inference in fuzzy systems when…
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Keywords:
interpolated rules;
rule;
dynamic fuzzy;
rule interpolation ... See more keywords