Random clustering forest for extended belief rule-based system

DOI10.1007/s00500-020-05467-6zbMath1498.68311OpenAlexW3120010474MaRDI QIDQ2099900

Ying-Ming Wang, Yang-Geng Fu, Xiao-Ting Gong, Chun-Yang Zhang, Nan-Nan Chen

Publication date: 21 November 2022

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-020-05467-6

zbMATH Keywords

\(K\)-meansevidence reasoningdata drivenbelief rule-basedrandom clustering forest

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Uses Software

• UCI-ml
• FLANN

Cites Work

• Bagging predictors
• Multiple attribute decision making. Methods and applications. A state-of- the-art survey
• Belief rule-based classification system: extension of FRBCS in belief functions framework
• A Branch and Bound Algorithm for Computing k-Nearest Neighbors
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