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Issue:Optimal weighting method for interval-valued intuitionistic fuzzy opinions

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Title of paper: Optimal weighting method for interval-valued intuitionistic fuzzy opinions
Author(s):
M. El Alaoui
Department of Production and Industrial Engineering, Moulay Ismail University,, Meknes, Morocco
mohamedelalaoui208@gmail.com
H. Ben-Azza
Department of Production and Industrial Engineering, Moulay Ismail University,, Meknes, Morocco
hbenazza@yahoo.com
K. El Yassini
IA Laboratory, Faculty of Sciences, Moulay Ismail University, Meknes, Morocco
Khalid.ElYassini@gmail.com
Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 24, 2018, Number 3, pages 106—110
DOI: https://doi.org/10.7546/nifs.2018.24.3.106-110
Download:  PDF (194  Kb, File info)
Abstract: In this work, we propose a method to achieve consensus in a group decision making situation, where the opinions are described by interval-valued intuitionistic fuzzy sets. Optimality is achieved by minimizing weighed incoherencies. An illustrative example is proposed.
Keywords: Optimal weighing, Intuitionistic fuzzy set, Interval-valued intuitionistic fuzzy set.
AMS Classification: 03E72, 90B50.
References:
  1. Atanassov, K. (1983) Intuitionistic fuzzy sets, VII ITKR Session, Sofia, 20-23 June 1983 (Deposed in Centr. Sci.-Techn. Library of the Bulg. Acad. of Sci., 1697/84) (in Bulgarian). Reprinted: Int. J. Bioautomation, 2016, 20(S1), S1–S6.
  2. Atanassov, K. (1986) Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20, 87–96.
  3. Atanassov, K. (1999) Intuitionistic Fuzzy Sets: Theory and Applications, Physica-Verlag Heidelberg.
  4. Atanassov, K., & Gargov, G. (1989) Interval valued intuitionistic fuzzy sets, Fuzzy Sets and Systems, 31, 343–349.
  5. Hsu, H. M., & Chen, C. T. (1996) Aggregation of fuzzy opinions under group decision making, Fuzzy Sets and Systems, 79, 279285.
  6. Koczy, T. L., & Tikk, D. (2000) Fuzzy rendszerek, Budapest.
  7. Lee, H. S. (2002) Optimal consensus of fuzzy opinions under group decision making environment, Fuzzy Sets and Systems, 132, 303–15.
  8. Lu, C., Lan, J., & Wang, Z. (2006) Aggregation of Fuzzy Opinions Under Group Decision- Making Based on Similarity and Distance, J. Syst. Sci. Complex., 19, 63–71.
  9. Santini, S., & Jain, R. (1997) Similarity is a Geometer, Multimed. Tools Appl, 5, 277–306.
  10. Williams, J., & Steele, N. (2002) Difference, distance and similarity as a basis for fuzzy decision support based on prototypical decision classes, Fuzzy Sets and Systems, 131, 35– 46.
  11. Xu, Z., & Cai X. (2012) Intuitionistic Fuzzy Information Aggregation: Theory and Applications, Springer-Verlag, Berlin Heidelberg.
  12. Yue, Z. (2011) Deriving decision makers weights based on distance measure for intervalvalued intuitionistic fuzzy group decision making, Expert Syst. Appl. 38 (9), 11665–11670.
  13. Zadeh, L. A. (1965) Fuzzy sets, Information and Control, 8, 338–53.
  14. Zhang, X., & Xu, Z. (2015) Soft computing based on maximizing consensus and fuzzy TOPSIS approach to interval-valued intuitionistic fuzzy group decision making, Appl. Soft Comput., 26, 42–56.
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