Skip to main content
Log in

Interval sessions at NAFIPS/IFIS/NASA’94

Интервальные секции на конференции NAFIPS/IFIS/NASA’94

  • Meetings
  • Published:
Reliable Computing

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Bouchon-Meunier, B., Nguyen, H. T., and Kreinovich, V.Optimization with soft constriants: case of fuzzy intervals. [7], IEEE, Piscataway, NJ pp. 77–179.

  2. Buckley, J. J.Training a fuzzy neural net. [7] IEEE, Piscataway, NJ, pp. 73–77.

  3. Clond, C.Teaching kids how to ride a bike. [7] IEEE, Piscataway, NJ. pp. 398–399.

  4. Cooke, D., Duran, R., and Gates, A.Bag language speeds up fuzzy interval computations. [7] IEEE, Piscataway, NJ pp. 398–399.

  5. Dubois, D. and Prade, H.Fuzzy sets and systems: theory and applications. Academic Press, N.Y., London, 1980.

    Google Scholar 

  6. Gemoets, L. et al.When to stop testing software? A fuzzy interval approach. [7], IEEE, Piscataway, NJ, pp. 182–186.

  7. Hall, L., Ying, H., Langari, R., and Yen, J. (eds)NAFIPS/IFIS/NASA’94, proceedings of the First international joint conference of the North american fuzzy information processing society biannual conference, the Industrial fuzzy control and intelligent systems conference, and the NASA joint technology workshop on neural networks and fuzzy logic, San Antonio, December 18–21, 1994. IEEE, Piscataway, NJ.

  8. Johnson, C., Lea, B., and Vedagarba, S.How to take care of routine decision-making, and leave important decisions to an expert: case studies. [7], IEEE, Piscataway, NJ, pp. 470–473.

  9. Kandel, A. and Langholtz, G. (eds)Fuzzy control system. CRC Press, Boca Raton, FL, 1994.

    Google Scholar 

  10. Kohout L. J. and Stabile, I.Interval-valved inference in medical knowledge-based system CLINAID. Interval Computations 3 (1993), pp. 88–115.

    MathSciNet  Google Scholar 

  11. Kreinovich, V. and Nguyen, H. T.Applications of fuzzy intervals: a skeletal outline of papers presented at this section. [7], IEEE, Piscataway, NJ, pp. 461–463.

  12. Lea, R. N.Interval estimates help to make intelligent control more efficient and reliable. In: “Abstracts for a Workshop on Interval Methods in International Conference on Interval Computations, Lafayette, LA, Feb. 25–March 1, 1993”, p. 20.

  13. Lea, R. N. and Kreinovich, V.Interval estimates help to make intelligent control more efficient and reliable. Technical Report, University of Texas at El Paso, UTEP-CS-92-20.

  14. Misane, D.The necessity to check consistency of expert knowledge explains the current form of fuzzy control. [7], IEEE, Piscataway, NJ, pp. 180–181.

  15. Nakamura, M.What fuzzy interval operations should be hardware supported? [7], IEEE, Piscataway, NJ, pp. 393–397.

  16. Nguyen, H. T., Kreinovich, V., Lea, B., and Tolbert, D.How to control if even experts are not sure: minimizing intervals of uncertainty. In: “Abstracts for a Workshop on Interval Methods in International Conference on Interval computations, Lafayette, LA, Feb. 25–March 1, 1993”, p. 27; full text appeared as Technical Report, University of Texas at El Paso, UTEP-CS-92-18.

  17. Rocha, L. M.Cognitive categorizaton revisited: extending interval valued fuzzy sets as simulation tools for concept combination. [7], IEEE, Piscataway, NJ, pp. 400–404.

  18. Smith, M. H.Tuning membership functions, tuning “and” and “or” operations, tuning defuzzification: what is best? [7], IEEE, Piscataway, NJ, pp. 347–351.

  19. Solopchenko, G. N., Reznik, L. K., and Johnson, W. C.Fuzzy interval as a basis for measurement theory. [7], IEEE, Piscataway, NJ, pp. 405–406.

  20. Starks, S. et al.How to avoid congestion in computer networks. [7], IEEE, Piscataway, NJ, pp. 466–469.

  21. Tolbert, D. and Corbin, J.Fuzzy interval approach to computation on the Internet and Information SuperHighway. [7], IEEE, Piscataway, NJ, pp. 464–465.

  22. Türk§en, I. B.Interval valued fuzzy sets and fuzzy connectives. Interval Computations 4 (1993), pp. 125–142.

    Google Scholar 

  23. Türk§en, I. B.Interval valued fuzzy sets. [7], IEEE, Piscataway, NJ, pp. 317–321.

  24. Wu, K. C.A robot must be better than a human driver: an application of fuzzy intervals. [7], IEEE, Piscataway, NJ, pp. 171–174.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kreinovich, V., Nguyen, H.T. Interval sessions at NAFIPS/IFIS/NASA’94. Reliable Comput 1, 93–98 (1995). https://doi.org/10.1007/BF02390524

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02390524

Navigation