A type-2 FLS is again characterized by IF–THEN rules, but its antecedent or consequent sets are now type-2. Type-2 FLSs can be used when the circumstances are too uncertain to determine exact membership grades such as when training data is corrupted by noise—a case studied later in this paper.
Jan 14, 2011 · Compared to type-1 fuzzy ALC, type-2 fuzzy ALC can describe imprecise knowledge more meticulously by using the membership degree interval. We ...
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A type-2 fuzzy set lets us incorporate uncertainty about the membership function into fuzzy set theory, and is a way to address the above criticism of type-1 ...
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The implementation of this type-2 FLS involves the operations of fuzzification, inference, and output processing.
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We define a type-2 Description Logic, a reasoning algorithm, and give a Fuzzy OWL 2 specification of it. Previous article in issue; Next ...
Oct 22, 2021 · When all the secondary grades are of a type-2 set are equal to 1, the set is called an interval type-2 fuzzy set. We notice that the footprint ...
For type-2 fuzzy inference systems, input values are fuzzified by finding the corresponding degree of membership in both the UMFs and LMFs from the rule ...
Apr 13, 2024 · Compared to type-1 fuzzy ALC, type-2 fuzzy ALC can describe imprecise knowledge more meticulously by using the membership degree interval. We ...
A comprehensive review on type 2 fuzzy logic applications
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Type-2 fuzzy systems have been widely applied in the fields of intelligent control, pattern recognition and classification, among others.
The experimental results show that the type-2 fuzzy based system can increase the number of relevant hits and improve the precision of semantic search engine.