Balancing interpretability and accuracy by multi-level fuzzy information granulation

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2006, Pages 2157-2163

  Mencar, Corrado ^a,b   Castellano, Giovanna ^a,b   Fanelli, Anna Maria ^a,b  

^a IEEE   (Italy)

^b UNIVERSITY OF BARI   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DOUBLE CLUSTERING FRAMEWORK (DCF); FUZZY INFORMATION GRANULATION;

CONSTRAINT THEORY; DATA REDUCTION; DATA STRUCTURES; HIERARCHICAL SYSTEMS; NUMERICAL METHODS; SEMANTICS;

FUZZY SETS;

EID: 34250728976     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2006.1681999     Document Type: Conference Paper

References (7)

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3. L.I. Kuncheva (2000). Fuzzy Classifier Design, Physica Verlag, 2000.
4. W. Pedrycz (1996). Conditional Fuzzy C-Means. Pattern Recognition Letters, 17:625-632, 1996.
5. W. Pedrycz (2001). Granular computing: an introduction. In Proc. of IFSA-NAFIPS 2001, pp. 1349-1354, Vancouver, Canada, July 2001.
6. J. Valente de Oliveira (1999). Semantic Constraints for Membership Function Approximation. IEEE Transactions on Systems, Man and Cybernetics, part A, volume 29, number 1, pages 128-138, 1999.
7. L.A. Zadeh (1997). Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy Sets and Systems, Volume 90, pp. 111-127, 1997