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Novel Developments in Uncertainty Representation and Processing pp 185–195Cite as

A New Proposal of Defuzzification of Intuitionistic Fuzzy Quantities

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 401))

Abstract

In this paper we propose a method to defuzzify an intuitionistic fuzzy quantity that, depending on two parameters, recover previous methods and leaves freedom to the user.

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References

  1. Anzilli, L., Facchinetti, G., Mastroleo, G.: Evaluation and interval approximation of fuzzy quantities. In: 8th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13), pp. 180–186 (2013)

    Google Scholar 

  2. Anzilli, L., Facchinetti, G., Mastroleo, G.: A parametric approach to evaluate fuzzy quantities. Fuzzy Sets Syst. 250, 110–133 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  3. Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy sets Syst. 20(1), 87–96 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  4. Atanassov, K.T.: Intuitionistic Fuzzy Sets: Theory and Applications. Springer, Heidelberg (1999)

    Book  MATH  Google Scholar 

  5. Atanassov, K.T.: Intuitionistic fuzzy sets: past, present and future. In: EUSFLAT Conference, pp. 12–19 (2003)

    Google Scholar 

  6. Atanassova, V., Sotirov, S.: A new formula for de-i-fuzzification of intuitionistic fuzzy sets. In: Notes on Intuitionistic Fuzzy Sets, 16th International Confrence on IFSs, Sofia, vol. 910, p. 4951 (2012)

    Google Scholar 

  7. Ban, A., Kacprzyk, J., Atanassov, K.: On de-i-fuzzification of intuitionistic fuzzy sets. Comptes Rendus de lAcademie bulgare des Sciences, Tome 61(12), 1535–1540 (2008)

    MathSciNet  MATH  Google Scholar 

  8. Grzegorzewski, P.: Distances and orderings in a family of intuitionistic fuzzy numbers. In: EUSFLAT Conference, pp. 223–227 (2003)

    Google Scholar 

  9. Yager, R.R.: Some aspects of intuitionistic fuzzy sets. Fuzzy Optim. Decis. Mak. 8(1), 67–90 (2009)

    Article  MathSciNet  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Management, Economics, Mathematics and Statistics, University of Salento, Lecce, Italy

    Luca Anzilli & Gisella Facchinetti

Authors
  1. Luca Anzilli
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  2. Gisella Facchinetti
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Corresponding author

Correspondence to Luca Anzilli .

Editor information

Editors and Affiliations

  1. Inst. of Biophy. & Biomedical Eng., Bulgarian Academy of Sciences, Sofia, Bulgaria

    Krassimir T. Atanassov

  2. Division of Graduate Studies, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Oscar Castillo

  3. Sys Res Intit of Polish Acad of Science, Intelligent Systems Laboratory, Warsaw, Poland

    Janusz Kacprzyk

  4. Warsaw School of Information Technology, Polish Academy of Sciences, Warsaw, Poland

    Maciej Krawczak

  5. Div of Gdu Stud,CalzTecn sn,Fra.TomAqu, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Patricia Melin

  6. Intelligent Systems Laboratory, Asen Zlatarov University, Bourgas, Bulgaria

    Sotir Sotirov

  7. Intelligent Systems Laboratory, “Prof. Dr. Asen Zlatarov” University, Burgas, Bulgaria

    Evdokia Sotirova

  8. Systems Research Institute, Polish Academy of Sciences, Warszawa, Poland

    Eulalia Szmidt

  9. Dept. of Tele. & Info. Processing, Ghent University, Gent, Belgium

    Guy De Tré

  10. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Sławomir Zadrożny

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Anzilli, L., Facchinetti, G. (2016). A New Proposal of Defuzzification of Intuitionistic Fuzzy Quantities. In: Atanassov, K., et al. Novel Developments in Uncertainty Representation and Processing. Advances in Intelligent Systems and Computing, vol 401. Springer, Cham. https://doi.org/10.1007/978-3-319-26211-6_16

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  • DOI: https://doi.org/10.1007/978-3-319-26211-6_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26210-9

  • Online ISBN: 978-3-319-26211-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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