As of August 2024, International Journal "Notes on Intuitionistic Fuzzy Sets" is being indexed in Scopus.
Please check our Instructions to Authors and send your manuscripts to nifs.journal@gmail.com. Next issue: March 2025.

Issue:Fuzzy justification of heuristic methods in inverse problems and in numerical computations, with applications to detection of business cycles from fuzzy and intuitionistic fuzzy data

From Ifigenia, the wiki for intuitionistic fuzzy sets and generalized nets
Revision as of 17:36, 16 July 2017 by Vassia Atanassova (talk | contribs) (Created page with "{{PAGENAME}} {{PAGENAME}} {{PAGENAME}}...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search
shortcut
http://ifigenia.org/wiki/issue:nifs/4/2/47-56
Title of paper: Fuzzy justification of heuristic methods in inverse problems and in numerical computations, with applications to detection of business cycles from fuzzy and intuitionistic fuzzy data
Author(s):
Vladik Kreinovich
Department of Computer Science University of Texas at El Paso, El Paso, TX 79968
Hung Nguyen
Department of Mathematical Sciences, New Mexico State University, Las Cruces, NM 88003, USA
Berlin Wu
Department of Applied Mathematics National Chengchi University, Taipei, Taiwan, China
Krassimir Atanassov
CLBME - Bulgarian Academy of Sciences, Sofia-1113, P.O.Box 12, Bulgaria
Presented at: 2nd ICIFS, Sofia, 3—4 Oct. 1998
Published in: Conference proceedings, "Notes on IFS", Volume 4 (1998) Number 2, pages 47—56
Download:  PDF (5472  Kb, File info)


References:
  1. K. Atanassov, "Intuitionistic fuzzy sets", Fuzzy sets and Systems, Vol. 20 (1986), No. 1, 87-96.
  2. G. Klir and B. Yuan, Fuzzy sets and fuzzy logic: theory and applications. Prentice Hall, Upper Saddle River, NJ, 1995.
  3. V. Kreinovich, C.-C. Chang, L. Reznik, and G. N. Solopchenko, "Inverse problem-s: fuzzy representation of uncertainty generates a regularization", In: Proceedings of NAFIPS'92: North American Fuzzy Information Processing Society Conference, Puerto Vallarta, Mexico, December 15-17, 1992, NASA Johnson Space Center, Hous¬ton, TX, 1992, pp. 418-426.
  4. H. T. Nguyen, V. Kreinovich, and B. Bouchon-Meunier, "Soft Computing Explains Heuristic Numerical Methods in Data Processing and in Logic Programming", Working Notes of the AAAI Symposium on Frontiers in Soft Computing and Decision Systems, Boston, MA, November 8-10, 1997, pp. 40-45.
  5. H. T. Nguyen, V. Kreinovich, and B. Bouchon-Meunier, "Soft Computing Explains Heuristic Numerical Methods in Data Processing and in Logic Programming", Heuristics: The Journal of Intelligent Technology, 1998 (to appear).
  6. H. T. Nguyen and E. A. Walker, A first course in fuzzy logic, CRC Press, Boca Raton, Florida, 1997.
  7. A. N. Tikhonov and V. Y. Arsenin. Solutions of ill-posed problems, V. H. Winston & Sons, Wasnington, DC, 1977.
  8. N. A. Zheludeva, V. Kreinovich, and G. N. Solopchenko, Applicability criteria and accuracy estimates for heuristic methods of solving inverse problems, Leningrad Center of New Technology "Informatika", Technical Report, Leningrad, 1989 (in Russian).
  9. B. Wu and S.-L. Hung, "Pattern recognition for nonlinear time series: with examples for distinguishing ARCH and bilinear models", Fuzzy Sets and Systems, 1998 (to appear).
  10. B. Wu and M.-C. Liaw, Application of fuzzy time series analysis to change period detection, Technical Report, Department of Mathematical Sciences and Statistics, National Chengchi University, Taipei, Taiwan, China, 1998.
Citations:

The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.