On the Use of Clustering in Possibilistic Decision Tree Induction
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Publication:3638172
DOI10.1007/978-3-642-02906-6_44zbMath1245.68214OpenAlexW1581580325MaRDI QIDQ3638172
Ilyes Jenhani, Zied Elouedi, Salem Benferhat
Publication date: 2 July 2009
Published in: Lecture Notes in Computer Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-642-02906-6_44
Decision theory (91B06) Reasoning under uncertainty in the context of artificial intelligence (68T37)
Uses Software
Cites Work
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- Fuzzy sets as a basis for a theory of possibility
- Hierarchical clustering schemes
- Information Affinity: A New Similarity Measure for Possibilistic Uncertain Information
- SIM-PDT: A Similarity Based Possibilistic Decision Tree Approach
- Symbolic and Quantitative Approaches to Reasoning with Uncertainty
- Advances in Intelligent Data Analysis VI
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