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: September/October 2024.

Open Call for Papers: International Workshop on Intuitionistic Fuzzy Sets • 13 December 2024 • Banska Bystrica, Slovakia/ online (hybrid mode).
Deadline for submissions: 16 November 2024.

Issue:Determining the specificity, sensitivity, positive and negative predictive values in intuitionistic fuzzy logic: Difference between revisions

From Ifigenia, the wiki for intuitionistic fuzzy sets and generalized nets
Jump to navigation Jump to search
m Text replacement - "Conference proceedings," to ""
 
(One intermediate revision by the same user not shown)
Line 18: Line 18:
{{issue/data
{{issue/data
  | conference      = 12<sup>th</sup> [[ICIFS]], Sofia, 17—18 May 2008
  | conference      = 12<sup>th</sup> [[ICIFS]], Sofia, 17—18 May 2008
  | issue          = Conference proceedings, [[Notes on Intuitionistic Fuzzy Sets/14/2|"Notes on IFS", Volume 14 (2008) Number 2]], pages 73—79
  | issue          = [[Notes on Intuitionistic Fuzzy Sets/14/2|"Notes on Intuitionistic Fuzzy Sets", Volume 14 (2008) Number 2]], pages 73—79
  | file            = NIFS-14-2-73-79.pdf
  | file            = NIFS-14-2-73-79.pdf
  | format          = PDF
  | format          = PDF

Latest revision as of 17:47, 28 August 2024

shortcut
http://ifigenia.org/wiki/issue:nifs/14/2/73-79
Title of paper: Determining the specificity, sensitivity, positive and negative predictive values in intuitionistic fuzzy logic
Author(s):
Ludmila Todorova
Centre of Biomedical Engineering "Prof. Ivan Daskalov", Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., Sofia 1113, Bulgaria
lpt@clbme.bas.bg
Presented at: 12th ICIFS, Sofia, 17—18 May 2008
Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 14 (2008) Number 2, pages 73—79
Download:  PDF (211  Kb, File info)
Abstract: In the present paper a classification of a set of patterns with the aid of intuitionistic fuzzy Voronoi diagrams, in view of the possibility for more adequate description of the considered objects, allowing for recognition of patterns with non-strict membership is considered.
Keywords: Intuitionistic fuzzy sets, Intuitionistic fuzzy Voronoi diagrams, Pattern recognition
References:
  1. Atanassov K. Intuitionistic fuzzy sets, VII ITKR's Session, Sofia, June 1983 (Deposed in Central Sci. - Techn. Library of Bulg. Acad. of Sci., 1697/84) (in Bulg.).
  2. Aurenhammer, F. Voronoi diagrams a survey of a fundamental geometric data structure. ACM Comput. Surv., 23(3):345-405, Sept. 1991.
  3. Brochard L, Rauss A, Benito S, Conti G, Mancebo J, Rekik N, Gasparetto A, Lemaire F. Comparison of three methods of gradual withdrawal from ventilatory support during weaning from mechanical ventilation. Am J Respir Crit Care Med; 150: 896-903, 1994.
  4. Burns, S., J. M. Clochesy, S. K. Goodnough Hanneman, G. E. Ingersoll, A. R. Knebel, M. E. Shekleton. Weaning from long-term mechanical ventilation. American Journal of Critical Care,; vol 4, №1, 4-22, 1995.
  5. Cabello, D., Barro, S., Salceda, J. M., Ruiz, R. and Mira, J. Fuzzy K-Nearest Neighbor Classifiers for Ventricular Arrhythmia Detection. International Journal of Bio-Medical Computing, 27, pp 77-93, 1991.
  6. De, S.K., R. Biswas, A. R. Roy An application of intuitionistic fuzzy sets in medical diagnosis, Fuzzy Sets and Systems 117 (2), 209-213, 2001.
  7. Dziech, A. and M. Gorzalczany. Decision Making Signal Transmission Problems with Interval-Valued. Fuzzy Sets and Systems, 23, N2, 191-203, 1987.
  8. Fukunaga, K. Introduction to Statistical Pattern Recognition. Academic Press: New York and London, 1972.
  9. Gluhchev G., K. Atanassov, S. Hadjitodorov, V. Vasilev, A. Shannon. Face Recognition via Generalized Nets. Issues in Intuitionistic Fuzzy Set and Generalized Nets. Eds. K.Atanassov, J.Kacprzyk, M.Krawczak., Wydawnictwo WSISiZ, Warszawa, Poland, pp. 57-60, 2004.
  10. Gougen, J. L-fuzzy sets. Journal of Mathematical Analysis and Applications, 18, 145-174, 1967.
  11. Irwin, RS, R. D. Hubmayr. Mechanical ventilation weaning. Rippe, JM eds. Intensive care medicine , Little Brown Boston, MA, 577-578 1991.
  12. Jekova I., Bortolan G., Christov I. 'Pattern Recognition and Optimal Parameter Selection in Premature Ventricular Contraction Classification' IEEE Computers in Cardiology, 31, pp. 357-360, 2004.
  13. Kissiov, V.T., S. T. Hadjitodorov, L. I. Kuncheva. Using Key Features in Pattern Classification. Pattern Recognition Letters, vol.11, pp.1-5, 1990.
  14. Sanchez, E. Solutions in composite fuzzy relation equation. Application to Medical diagnosis in Brouwerian Logic, in: M.M. Gupta, G.N. Saridis, B.R. Gaines (Eds.), Fuzzy Automata and Decision Process, Elsevier, North-Holland, 1977.
  15. Todorova, L., A. Antonov, St. Hadjitodorov. Intuitionistic fuzzy Voronoi Diagrams — definition and properties. Proceedings of the Eighth International Conference on Intuitionistic Fuzzy Sets - part 2, Varna, 20-21 June, pp. 56-60, 2004.
  16. Todorova, L., A. Antonov. Intuitionistic fuzzy Voronoi diagrams — definition and properties. Part 2 Proceedings of the Ninth International Conference on Intuitionistic Fuzzy Sets- part 2, Sofia, 7-8 May, pp. 88-90, 2005.
  17. Tou, J., R. Gonzalez. Pattern Recognition Principles. Massachusetts: Addison-Wesley Publishing Company, 1974.
  18. Vassilakopoulos, T., S Zakynthinos, C Roussos. The conventional approach to weaning from mechanical ventilation. Eur Respir Mon; 8:266-298, 1998.
  19. Zadeh, L. Fuzzy sets. Information and Control, vol. 8, 338-353, 1965.
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.