Leila Baccour


  1. [1] F. Zare-Mirakabad and M.H. Kazemi, Robust multiple model adaptive control with fuzzy posterior probability combination, Control and Intelligent Systems, 45(2), 2017, 75–83.
  2. [2] T. Gunendradasan, C. Dinesh, R.I. Godaliyadda, and M.P. Ekanayake, Expression negation and component selection algorithm for face recognition from single sample per person, Control and Intelligent Systems, 44(3), 2016, 104–111.
  3. [3] W. Ying-yu and Y. De-jian, Extended VIKOR for multicriteria decision making problems under intuitionistic environment, 18th International Conf. on Management Science and Engineering, September 13–15, Rome, Italy, 2011.
  4. [4] J. Deepa and K. Sanjay, Intuitionistic fuzzy entropy and distance measure based TOPSIS method for multi-criteria decision making, Egyptian Informatics Journal, 15, 2014, 97–104.
  5. [5] W. Yinghui and L. Wen, The application of intuitionistic fuzzy set TOPSIS method employee performance appraisal, International Journal of uand e-Service, Science and Technology, 8 (3), 2015, 329–344.
  6. [6] Y. Yuan and H.L. Yang, Extension of TOPSIS for multiple attribute decision making using intuitionistic fuzzy sets, Advanced Materials Research, 433(440), 2012, 4053–4058.
  7. [7] V.C. Gerogiannis, P. Fitsilis, and A.D. Kameas, Using a combined intuitionistic fuzzy Set-TOPSIS method for evaluating project and portfolio management information systems, Artificial Intelligence Applications and Innovations (Berlin Heidelberg: Springer, 2011), 67–81.
  8. [8] H. Safari, E. Khanmohammadi, A. Hafezamini, and S.S. Ahangari, A new technique for multi criteria decision making based on modified similarity method, Middle-East Journal of Scientific Research, 14 (5), 2013, 712–719.
  9. [9] Z. Xu, Some similarity measures of intuitionistic fuzzy sets and their applications to multiple attribute decision making, Fuzzy Optimization and Decision Making, 6, 2007, 109–121.
  10. [10] K. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20, 1986, 87–96.
  11. [11] L. Baccour, A.M. Alimi, and R.I. John, Intuitionistic fuzzy similarity measures and their role in classification, Journal of Intelligent Systems, 25(2), 2016, 1–17.
  12. [12] L. Baccour, W. Maghrebi, S. Kanoun, and A.M. Alimi, A comparative study of a fuzzy similarity measure aggregated with fuzzy implications applied to shape recognition, 6th Mexican International Conf. on Artificial Intelligence MICAI2007, Mexico, 2007.
  13. [13] L. Baccour and R.I. John, Experimental analysis of crisp similarity and distance measures, Proc. International Conf. on Soft Computing and Pattern Recognition, SoCPaR 2014, August 8–11, Tunis, Tunisia, 2014, 96–100.
  14. [14] Y. Song and X. Wang, A new similarity measure between intuitionistic fuzzy sets and the positive definiteness of the similarity matrix, Pattern Analysis and Applications, 20(1), 2017, 215–226.
  15. [15] J. Ye, Cosine similarity measures for intuitionistic fuzzy sets and their applications, Mathematical and Computer Modelling, 53 (1–2), 2011, 91–97.
  16. [16] D. Li and C. Cheng, New similarity measures of intuitionistic fuzzy sets and application to pattern recognitions, Pattern Recognition Letters, 23 (1–3), 2002, 221–225.
  17. [17] C. Zhang and H. Fu, Similarity measures on three kinds of fuzzy sets, Pattern Recognition Letters, 27, 2006, 1307–1317.
  18. [18] W.-L. Hung and M.-S. Yang, On similarity measures between intuitionistic fuzzy sets, International Journal of Intelligent Systems, 23, 2008, 364–383.
  19. [19] J.H. Park, J.H. Hwang, W.J. Park, H. Wei, and S.H. Lee, Similarity measure on intuitionistic fuzzy sets, Journal of Central South University, 20, 2013, 2233–2238.
  20. [20] C.H. Chu, K. Hung, and P. Julian, A complete pattern recognition approach under Atanassov’s intuitionistic fuzzy sets, Knowledge-based Systems, 66, 2014, 36–45.
  21. [21] L. Luo and H. Ren, A new similarity measure of intuitionistic fuzzy set and application in MADM problem, AMSE Journals2016-Series: Advances A, 59(1), 2016, 204–223.
  22. [22] T. Chen and C. Li, Determining objective weights with intuitionistic fuzzy entropy measures: A comparative analysis, Information Sciences, 180, 2010, 4207–4222.
  23. [23] P. Grzegorzewski, Distances between intuitionistic fuzzy sets and/or interval-valued fuzzy sets based on the Hausdorff metric, Fuzzy Sets and Systems, 149 (2), 2004, 319–328.
  24. [24] E. Szmidt and J. Kacprzyk, Distances between intuitionistic fuzzy sets, Fuzzy Sets and Systems, 114, 2000, 505–518.
  25. [25] F. Dammak, L. Baccour, and A.M. Alimi, The impact of criterion weights techniques in TOPSIS method of multi-criteria decision making in crisp and intuitionistic fuzzy domains, Proc. IEEE International Conf. on Fuzzy Systems, FUZZ-IEEE 2015, August 2–5, Istanbul, Turkey, 2015.

Important Links:

Go Back