Similarity measures for interval-valued fuzzy sets based on average embeddings and its application to hierarchical clustering
From MaRDI portal
Publication:6205002
DOI10.1016/j.ins.2022.10.028MaRDI QIDQ6205002
Agustina Bouchet, Irene Díaz, Pedro Huidobro, Noelia Rico
Publication date: 11 April 2024
Published in: Information Sciences (Search for Journal in Brave)
hierarchical clusteringsimilarity measureinterval-valued fuzzy setsembedding functioninterval-based dataweather data mining
Cites Work
- The distance between two random vectors wigh given dispersion matrices
- New clustering methods for interval data
- Interval-valued fuzzy relation-based clustering with its application to performance evaluation
- Some similarity measures of intuitionistic fuzzy sets and their applications to multiple attribute decision making
- On fuzzy convexity and parametric fuzzy optimization
- The concept of a linguistic variable and its application to approximate reasoning. I
- Entropy, distance measure and similarity measure of fuzzy sets and their relations
- Mathematical analysis of interval-valued fuzzy relations: Application to approximate reasoning
- Interval set clustering of web users with rough \(K\)-means
- Implication in intuitionistic fuzzy and interval-valued fuzzy set theory: construction, classification, application
- Hierarchical clustering schemes
- Similarity between interval-valued fuzzy sets taking into account the width of the intervals and admissible orders
- 10.1162/15324430260185592
- A Survey of Recent Advances in Hierarchical Clustering Algorithms
- Intervall-wertige Mengen
- Fuzzy Membership Mapped onto Intervals and Many‐Valued Quantities
- Data Mining and Knowledge Discovery Handbook
- A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
This page was built for publication: Similarity measures for interval-valued fuzzy sets based on average embeddings and its application to hierarchical clustering
