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Intercriteria Analysis over Intuitionistic Fuzzy Data

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Large-Scale Scientific Computing (LSSC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10665))

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Abstract

The possibility for application of Intercriteria Analysis over intuitionistic fuzzy data is discussed. An example in the area of mathematical logic is given as an illustration of the application of the Intercriteria Analysis.

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References

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Acknowledgments

The authors are thankful for the support provided by the Bulgarian National Science Fund under Grant Ref. No. DFNI-I-02-5.

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Authors and Affiliations

  1. Asen Zlatarov University — Burgas 1 “Prof. Yakimov” Blvd, 8010, Burgas, Bulgaria

    Veselina Bureva, Evdokia Sotirova & Krassimir Atanassov

  2. Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., 1113, Sofia, Bulgaria

    Vassia Atanassova, Nora Angelova & Krassimir Atanassov

  3. Faculty of Mathematics and Informatics, Sofia University “St. Climent Ochridski”, 5, James Bourchier Str., 1126, Sofia, Bulgaria

    Nora Angelova

Authors
  1. Veselina Bureva
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  2. Evdokia Sotirova
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  3. Vassia Atanassova
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  4. Nora Angelova
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  5. Krassimir Atanassov
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Corresponding author

Correspondence to Krassimir Atanassov .

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Editors and Affiliations

  1. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Ivan Lirkov

  2. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Svetozar Margenov

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Bureva, V., Sotirova, E., Atanassova, V., Angelova, N., Atanassov, K. (2018). Intercriteria Analysis over Intuitionistic Fuzzy Data. In: Lirkov, I., Margenov, S. (eds) Large-Scale Scientific Computing. LSSC 2017. Lecture Notes in Computer Science(), vol 10665. Springer, Cham. https://doi.org/10.1007/978-3-319-73441-5_35

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  • DOI: https://doi.org/10.1007/978-3-319-73441-5_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73440-8

  • Online ISBN: 978-3-319-73441-5

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