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Discrete Dynamics in Nature and Society
Volume 2006 (2006), Article ID 46546, 13 pages
http://dx.doi.org/10.1155/DDNS/2006/46546

Novel, useful, and effective definitions for fuzzy linguistic hedges

1Faculty of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, Melaka 75450, Malaysia
2Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, Melaka 75450, Malaysia

Received 12 December 2005; Revised 15 April 2006; Accepted 25 April 2006

Copyright © 2006 Aarthi Chandramohan and M. V. C. Rao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. W. Banks, “Mixing crisp and fuzzy logic in applications,” in Proceedings of Idea/Microelectronics. Conference Record (WESCON '94), pp. 94–97, California, September 1994. View at Google Scholar
  2. B. Bouchon-Meunier, “Linguistic hedges and fuzzy logic,” in Proceedings of 1st IEEE International Conference on Fuzzy systems, pp. 247–254, California, March 1992. View at Google Scholar
  3. E. Cox, The Fuzzy Systems Handbook, AP Professional, New York, 2nd edition, 1998.
  4. N. C. Ho and W. Wechler, “Hedge algebras: an algebraic approach to structure of sets of linguistic truth values,” Fuzzy Sets and Systems, vol. 35, no. 3, pp. 281–293, 1990. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  5. C.-Y. Huang, C.-Y. Chen, and B.-D. Liu, “Current-mode linguistic hedge circuit for adaptive fuzzy logic controllers,” Electronics Letters, vol. 31, no. 17, pp. 1517–1518, 1995. View at Publisher · View at Google Scholar
  6. B.-D. Liu, C.-Y. Chen, and J.-Y. Tsao, “Design of adaptive fuzzy logic controller based on linguistic-hedge concepts and genetic algorithms,” IEEE Transactions on Systems, Man and Cybernetics, Part B, vol. 31, no. 1, pp. 32–53, 2001. View at Publisher · View at Google Scholar · View at PubMed
  7. J. G. Marin-Blazquez and Q. Shen, “From approximative to descriptive fuzzy classifiers,” IEEE Transactions on Fuzzy Systems, vol. 10, no. 4, pp. 484–497, 2002. View at Publisher · View at Google Scholar
  8. V. Novak, “A horizon shifting model of linguistic hedges for approximate reasoning,” in Proceedings of the 5th IEEE International Conference on Fuzzy Systems, vol. 1, pp. 423–427, Louisiana, September 1996. View at Google Scholar
  9. T. J. Ross, Fuzzy Logic with Engineering Applications, McGraw Hill, New York, 1997.
  10. H. Shi, R. Ward, and N. Kharma, “Expanding the definitions of linguistic hedges,” in Proceedings of 9th International Conference on IFSA World Congress and 20th NAFIPS, vol. 5, pp. 2591–2595, Vancouver, July 2001. View at Google Scholar
  11. L. A. Zadeh, “A fuzzy-set-theoretic interpretation of linguistic hedges,” Journal of Cybernetics, vol. 2, no. 3, pp. 4–34, 1972. View at Google Scholar · View at MathSciNet
  12. L. A. Zadeh, “Outline of a new approach to the analysis of complex systems and decision processes,” IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-3, pp. 28–44, 1973, [31–39]. View at Google Scholar · View at Zentralblatt MATH