Interval Type-2 Fuzzy Membership Function Generation Methods for Representing Sample Data
DOI10.1007/978-1-4614-6666-6_11zbMath1371.03082OpenAlexW46774885MaRDI QIDQ2974547
Byung-In Choi, Frank Chung-Hoon Rhee
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_11
histogramuncertaintyclusteringdefuzzificationtype-2 fuzzy setsgradient descentgeneral type-2 fuzzy setsinterval type-2 fuzzy setsfuzzifiertype reductionfuzzy C-meanstype-1 fuzzy setsfootprint of uncertaintyvertical slicefuzzy membership function generationinterval type-2 fuzzy membership function generationlower membership functionupper membership function
Theory of fuzzy sets, etc. (03E72) Reasoning under uncertainty in the context of artificial intelligence (68T37)
Cites Work
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- An overview of membership function generation techniques for pattern recognition
- Applications of type-2 fuzzy logic systems to forecasting of time-series
- Interval type-2 fuzzy membership function generation methods for pattern recognition
- FUZZY SHELL-CLUSTERING AND APPLICATIONS TO CIRCLE DETECTION IN DIGITAL IMAGES
- Neuro-fuzzy clustering of radiographic tibia image data using type 2 fuzzy sets
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