On choosing an appropriate data analysis algorithm

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2005, Pages 597-602

  Spott, Martin ^a   Nauck, Detlef ^a  

^a MARTLESHAM HEATH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DECISION THEORY; FUZZY CONTROL; FUZZY SETS;

BUSINESS DATA; BUSINESS DECISIONS; DATA ANALYSIS ALGORITHMS; DATA ANALYSIS TOOLS;

DATA REDUCTION;

EID: 23944454176     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. B. Bouchon-Meunier, M. Rifqi, and S. Bothorel, "Towards general measures of comparison of objects," Fuzzy Sets and Systems, vol. 84, no. 2, pp. 143-153, 1996.
2. C. Cornelis, C. Van der Donck, and E. Kerre, "Sinha-dougherty approach to the fuzzification of set inclusion revisited," FSS, vol. 134, pp. 283-295, 2003.
3. J. Gebhardt and R. Kruse, "The context model - an integrating view of vagueness and uncertainty," Intern. Journal of Approximate Reasoning, vol. 9, pp. 283-314, 1993.
4. D. Nauck, "Measuring interpretability in rule-based classification systems," in Proc. IEEE Int. Conf. on Fuzzy Systems 2003, St. Louis, 2003, pp. 196-201.
5. D. Nauck and R. Kruse, "A neuro-fuzzy method to learn fuzzy classification rules from data," FSS, vol. 89, no. 3, pp. 277-288, 1997.
6. D. Nauck, M. Spott, and B. Azvine, "Spida - a novel data analysis tool," BT Technology Journal, vol. 21, no. 4, pp. 104-112, 2003.
7. D. Sinha and E. Dougherty, "Fuzzification of set inclusion: theory and applications," FSS, vol. 55, pp. 15-42, 1993.
8. M. Spott, "Combining fuzzy words," in Proc. of FUZZ-IEEE 2001, Melbourne, Australia, 2001.
9. _, "Efficient reasoning with fuzzy words," in Computational Intelligence for Modelling and Predictions, S. K. Halgamuge and L. Wang, Eds. Springer Verlag, 2004, ch. 10, (to appear).
10. L. A. Zadeh, "Fuzzy sets," Information and Control, vol. 8, pp. 338-353, 1965.