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Intuitionistic Fuzzy Evaluation of User Requests Frequency

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Uncertainty and Imprecision in Decision Making and Decision Support - New Advances, Challenges, and Perspectives (IWIFSGN 2022, BOS/SOR 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 793))

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Abstract

The aim of the current investigation is to present intuitionistic fuzzy evaluation of the usability of facts in a database. The access to the facts by the users is evaluated. Depending on the time, the most used facts are determined according to the frequency of the users access to them. In each step of the fact selection its intuitionistic fuzzy evaluation is aggregated. An example using relational database with user calls is presented. The proposed investigation can be executed in Big Data systems having the support for the relational operations. Nowadays, many operations in the field of relational databases and NoSQL databases are implemented in Big Data systems.

The work of Veselina Bureva, Velin Andonov and Krassimir Atanassov is supported by the research project “Perspective Methods for Quality Prediction in the Next Generation Smart Informational Service Networks” (KP-06-N52/2) financed by the Bulgarian National Science Fund.

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References

  1. Almassabi, A., Bawazeer, O., Adam, S.: Top NewSQL databases and features classification. Int. J. Database Manage. Syst. (IJDMS) 10(2), 1–31 (2018)

    Google Scholar 

  2. Atanassov, K.: Intuitionistic Fuzzy Sets: Theory and Applications. Springer, Heidelberg (1999). https://doi.org/10.1007/978-3-7908-1870-3

    Book  MATH  Google Scholar 

  3. Atanassov, K.: On Intuitionistic Fuzzy Sets Theory. Springer, Berlin (2012). https://doi.org/10.1007/978-3-642-29127-2

    Book  MATH  Google Scholar 

  4. Atanassov, K.: Generalized Nets and Intuitionistic Fuziness in Data Mining. Professor Marin Drinov Publishing House of the Bulgarian Academy of Sciences, Sofia, Bulgaria (2020)

    Google Scholar 

  5. Atanassov, K., Szmidt, E., Kacprzyk, J.: On intuitionistic fuzzy pairs. Notes Intuitionistic Fuzzy Sets 19(3), 1–13 (2013)

    MATH  Google Scholar 

  6. Harrison, G.: Next Generation Databases: NoSQL, NewSQL, and Big Data. Apress, New York (2015)

    Book  Google Scholar 

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Author information

Authors and Affiliations

  1. Intelligent Systems Laboratory, Prof. Dr. Assen Zlatarov University, 1 “Prof. Yakimov” Blvd., 8010, Burgas, Bulgaria

    Veselina Bureva & Petar Petrov

  2. Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Block 8, 1113, Sofia, Bulgaria

    Velin Andonov

  3. Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Block 105, 1113, Sofia, Bulgaria

    Krassimir Atanassov

Authors
  1. Veselina Bureva
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  2. Petar Petrov
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  3. Velin Andonov
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  4. Krassimir Atanassov
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Corresponding author

Correspondence to Veselina Bureva .

Editor information

Editors and Affiliations

  1. Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Krassimir T. Atanassov

  2. Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Vassia Atanassova

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

    Janusz Kacprzyk

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

    Andrzej Kałuszko

  5. WIT- Warsaw School of Information Technology, Warsaw, Poland

    Maciej Krawczak

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

    Jan W. Owsiński

  7. Faculty of Technical Sciences, Prof. Assen Zlatarov University, Burgas, Bulgaria

    Sotir S. Sotirov

  8. Intelligent Systems Laboratory, Prof. Assen Zlatarov University, Burgas, Bulgaria

    Evdokia Sotirova

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

    Eulalia Szmidt

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

    Sławomir Zadrożny

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Bureva, V., Petrov, P., Andonov, V., Atanassov, K. (2023). Intuitionistic Fuzzy Evaluation of User Requests Frequency. In: Atanassov, K.T., et al. Uncertainty and Imprecision in Decision Making and Decision Support - New Advances, Challenges, and Perspectives. IWIFSGN BOS/SOR 2022 2022. Lecture Notes in Networks and Systems, vol 793. Springer, Cham. https://doi.org/10.1007/978-3-031-45069-3_2

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