Leila Baccour


  1. [1] F. Zare-Mirakabad and M.H. Kazemi, Robust multiple modeladaptive 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 al-gorithm 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 andEngineering, September 13–15, Rome, Italy, 2011.
  4. [4] J. Deepa and K. Sanjay, Intuitionistic fuzzy entropy anddistance measure based TOPSIS method for multi-criteriadecision making, Egyptian Informatics Journal, 15, 2014,97–104.
  5. [5] W. Yinghui and L. Wen, The application of intuitionistic fuzzyset TOPSIS method employee performance appraisal, International Journal of u- and 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 acombined intuitionistic fuzzy Set-TOPSIS method for evalu-ating project and portfolio management information systems,Artificial Intelligence Applications and Innovations (BerlinHeidelberg: Springer, 2011), 67–81.
  8. [8] H. Safari, E. Khanmohammadi, A. Hafezamini, and S.S.Ahangari, A new technique for multi criteria decision makingbased on modified similarity method, Middle-East Journal ofScientific Research, 14 (5), 2013, 712–719.
  9. [9] Z. Xu, Some similarity measures of intuitionistic fuzzy setsand 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 fuzzysimilarity measures and their role in classification, Journal ofIntelligent Systems, 25(2), 2016, 1–17.
  12. [12] L. Baccour, W. Maghrebi, S. Kanoun, and A.M. Alimi, Acomparative study of a fuzzy similarity measure aggregatedwith fuzzy implications applied to shape recognition, 6th Mex-ican International Conf. on Artificial Intelligence MICAI2007,Mexico, 2007.
  13. [13] L. Baccour and R.I. John, Experimental analysis of crispsimilarity 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 betweenintuitionistic fuzzy sets and the positive definiteness of thesimilarity 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 intuitionisticfuzzy sets and application to pattern recognitions, PatternRecognition Letters, 23 (1–3), 2002, 221–225.
  17. [17] C. Zhang and H. Fu, Similarity measures on three kinds offuzzy sets, Pattern Recognition Letters, 27, 2006, 1307–1317.
  18. [18] W.-L. Hung and M.-S. Yang, On similarity measures betweenintuitionistic fuzzy sets, International Journal of IntelligentSystems, 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 ofCentral South University, 20, 2013, 2233–2238.
  20. [20] C.H. Chu, K. Hung, and P. Julian, A complete patternrecognition approach under Atanassov’s intuitionistic fuzzysets, Knowledge-based Systems, 66, 2014, 36–45.
  21. [21] L. Luo and H. Ren, A new similarity measure of intuitionisticfuzzy set and application in MADM problem, AMSE Journals-2016-Series: Advances A, 59(1), 2016, 204–223.
  22. [22] T. Chen and C. Li, Determining objective weights with in-tuitionistic 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 intuitionisticfuzzy sets, Fuzzy Sets and Systems, 114, 2000, 505–518.
  25. [25] F. Dammak, L. Baccour, and A.M. Alimi, The impact ofcriterion weights techniques in TOPSIS method of multi-criteriadecision making in crisp and intuitionistic fuzzy domains, Proc.IEEE International Conf. on Fuzzy Systems, FUZZ-IEEE2015, August 2–5, Istanbul, Turkey, 2015.

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