A fuzzy paradigm approach for the cognitive process of categorization

Proceedings - 1st IEEE International Conference on Cognitive Informatics, ICCI 2002

Volumn , Issue , 2002, Pages 229-232

  Varachiu, C M ^a   Varachiu, N ^b  

^a UNIVERSITY OF BUCHAREST   (Romania)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

categorization; cognition; fuzzy logic; pattern recognition; uncertainty

Indexed keywords

COGNITIVE SYSTEMS; INFORMATION SCIENCE; PATTERN RECOGNITION;

CATEGORIZATION; COGNITION; COGNITIVE PROCESS; FUZZY UNCERTAINTIES; REAL WORLD SITUATIONS; RECOGNITION PROCESS; TECHNICAL SYSTEMS; UNCERTAINTY;

FUZZY LOGIC;

EID: 84962469598     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COGINF.2002.1039302     Document Type: Conference Paper

References (13)

1. Zadeh Lotfi A.: Fuzzy sets, in Information and Control, vol. 8, 1965, pp. 338-35
2. Zamfir C, Uncertainty, a Psycho-Sociological Perspective (in Romanian: Incertitudinea, o perspectiva psiho-sociologica), Scientific Publishing House, Bucharest, Romania, 1990
3. Bezdek J. C.: Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York, (1981)
4. Pal S., Bezdek J. C.: Measuring Fuzzy Uncertainty in IEEE Tran. on Fuzzy Systems, vol. 2, no. 2, May (1994) 107-118
5. Bezdek J. C.: A review of probabilistic, fuzzy, and neural models for Pattern Recognition, in Journal of Intelligent and Fuzzy Systems, vol. 1, (1993) 1-25
6. Kosko B.: Neural Networks and Fuzzy Systems, Prentice-Hall International Inc., (1992)
7. Glass A. L., Holyoak K. J., Cognition, Random House, New York, 1986
8. Duda R., Hart P.: Pattern Classification and Scene Analysis, John Wiley & Sons Inc. (1973)
9. Marr D.: Vision, W. H. Freeman and Company, San Francisco, California, (1982)
10. rd Joint Conference of Information Sciences, Research Triangle Park, North Carolina, USA, Vol. 3, (1997) 235-237
11. Varachiu N., A Fuzzy Shapes Characterization for Robotics, Lecture Notes in Computer Science, vol. 625, Computational Intelligence - Theory and Applications, Editor: B. Reusch, Sprienger-Verlag, Berlin, Heidelberg, New York, 1999, pp. 253-258
12. Varachiu N., "Implementation of a Fuzzy Method for Robot's Machine Vision Capability" in Proceedings of the Fifth Joint Conference on Information Technology- Atlantic City, NJ, USA, Feb. 27 - March 3, 2000, Vol 1, pp 873-875
13. J. G. Shanahan, Soft Computing for knowledge discovery: Introducing Cartesian Granule Feature, Kluwer Academic Publishers, Boston / Dordrecht /London, 2000