Knowledge discovery with nefclass

4th International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies, KES 2000 - Proceedings

Volumn 1, Issue , 2000, Pages 158-161

  Nauck, Detlef ^a  

^a MARTLESHAM HEATH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY INFERENCE; MEMBERSHIP FUNCTIONS; ALGORITHMS; FUZZY SETS; MATHEMATICAL MODELS; NEURAL NETWORKS;

FUZZY CLASSIFIERS; FUZZY MODELING; FUZZY SOFTWARES; INTELLIGENT DATA ANALYSIS; MEMBERSHIPS FUNCTION; NEFCLASS; NEURO-FUZZY;

FUZZY SETS; KNOWLEDGE BASED SYSTEMS;

COMPREHENSIBLE FUZZY SYSTEMS; NEUROFUZZY SOFTWARE;

EID: 0033645590     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/KES.2000.885782     Document Type: Conference Paper

References (8)

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3. M. Fayyad, Usama, Gregory Piatetsky-Shapiro, Padhraic Smyth, and Ramasamy Uthurusamy, editors. Advances in Knowledge Discovery and Data Mining. MIT Press, Menlo Park, CA, 1996.
4. David J. Hand. Intelligent data analysis: Issues and opportunities. Int. J. Intelligent Data Analysis, 2(2), 1998. Electronic journal (http://www.elsevier.com/locate/ida).
5. Detlef Nauck. Using symbolic data in neuro-fuzzy classification. In Proc. 28th International Conf. oi the North American Fuzzy Information Processing Society (NAFIPS99), pages 536-540, New York, NY, 1999. IEEE.
6. Detlef Nauck, Prank Klawonn, and Rudolf Kruse. Foundations of Neuro-Fuzzy Systems. Wiley, Chichester, 1997.
7. Detlef Nauck and Rudolf Kruse. Obtaining interpretable fuzzy classification rules from medical data. Artificial Intelligence in Medicine, 16(2):149-169, 1999.
8. Li-Xin Wang and Jerry M. Mendel. Generating fuzzy rules by learning from examples. IEEE Trans. Syst., Man, Cybern., 22(6):1414-1427, 1992.