Improved interval type-2 fuzzy K-means clustering based on adaptive iterative center with new defuzzification method
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Publication:6137854
DOI10.1016/j.ijar.2023.108968MaRDI QIDQ6137854
Fumin Ma, Teng-Fei Zhang, Yudi Zhang, Xiao-Yu Zhang
Publication date: 4 September 2023
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Cites Work
- Rough sets: some extensions
- An advanced study on the similarity measures of intuitionistic fuzzy sets based on the set pair analysis theory and their application in decision making
- Hierarchical time series clustering on tail dependence with linkage based on a multivariate copula approach
- Improved clustering algorithms for image segmentation based on non-local information and back projection
- A novel interval-valued data driven type-2 possibilistic local information c-means clustering for land cover classification
- Some refinements of rough \(k\)-means clustering
- Centroid of a type-2-fuzzy set
- Operations on type-2 fuzzy sets
- A novel optimization approach towards improving separability of clusters
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