Interval Type-2 Fuzzy Logic Systems and Perceptual Computers: Their Similarities and Differences

DOI10.1007/978-1-4614-6666-6_1zbMath1364.03041OpenAlexW2131589819MaRDI QIDQ2974537

Jerry M. Mendel

Publication date: 10 April 2017

Published in: Advances in Type-2 Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-1-4614-6666-6_1

zbMATH Keywords

rulescodebooksimilarityrankdefuzzificationfuzzy weighted averageinterval type-2 fuzzy setsfuzzifiersubsethoodlinguistic weighted averageencoderEKM algorithmssubjective judgmentsinterval type-2 fuzzy logic systemKM algorithmstype-reductioninterval weighted averagecomputing with words (CWW)CWW engineJaccard similarity measurelinguistic weighted power meannovel weighted averagesperceptual computerperceptual reasoningranking band

Mathematics Subject Classification ID

Fuzzy logic; logic of vagueness (03B52) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Cites Work

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• An improved quantum-behaved particle swarm optimization algorithm with weighted mean best position
• Fuzzy identification of systems and its applications to modeling and control
• From computing with numbers to computing with words. From manipulation of measurements to manipulation of perceptions
• Centroid of a type-2-fuzzy set

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