| Title of paper:
|
InterCriteria Analysis applied to the health problems declared by individuals in Bulgaria
|
| Author(s):
|
| Veselina Bureva
|
| University “Prof. Dr. Assen Zlatarov”, 1 “Prof. Yakimov” Blvd., Burgas 8010, Bulgaria
|
| vbureva@btu.bg
|
| Ivanka Stamova
|
| Department of Mathematics, University of Texas at San Antonio, San Antonio, TX, USA
|
| ivanka.stamova@utsa.edu
|
| Zlatko Yordanov
|
| University “Prof. Dr. Assen Zlatarov”, 1 “Prof. Yakimov” Blvd., Burgas 8010, Bulgaria
|
| zlatkoyordanov82@gmail.com
|
| Evdokia Sotirova
|
| University “Prof. Dr. Assen Zlatarov”, 1 “Prof. Yakimov” Blvd., Burgas 8010, Bulgaria
|
| esotirova@btu.bg
|
|
| Presented at:
|
26th International Conference on Intuitionistic Fuzzy Sets, Sofia, 26—27 June 2023
|
| Published in:
|
Notes on Intuitionistic Fuzzy Sets, Volume 29 (2023), Number 2, pages 208–217
|
| DOI:
|
https://doi.org/10.7546/nifs.2023.29.2.208-217
|
| Download:
|
 PDF (791 Kb, File info)
|
| Abstract:
|
In the current investigation the health problems in Bulgaria through the years 2008, 2014 and 2019 are observed. The datasets for self-reported chronic morbidity datasets by Eurostat data browser are used. InterCriteria Analysis (ICA) is applied to estimate the relationships between the health problems in different countries. The outcomes will present tendencies of chronic diseases appearance in the selected countries. The prevalence of health problems by countries and years is observed.
|
| Keywords:
|
InterCriteria Analysis, Chronic diseases, Health problems.
|
| AMS Classification:
|
03E72.
|
| References:
|
- Atanassov, K. (1999). Intuitionistic Fuzzy Sets: Theory and Applications. Springer-Verlag, Heidelberg.
- Atanassov, K. (2014). Index Matrices: Towards an Augmented Matrix Calculus. Studies in Computational Intelligence Series, Vol. 573, Springer, Cham.
- Atanassov, K., Atanassova, V., & Gluhchev, G. (2015). InterCriteria Analysis: Ideas and problems. Notes on Intuitionistic Fuzzy Sets, 21(1), 81–88.
- Atanassov, K., Mavrov, D., & Atanassova, V. (2014). InterCriteria Decision Making: A New Approach for Multicriteria Decision Making, Based on Index Matrices and Intuitionistic Fuzzy Sets. Issues in Intuitionistic Fuzzy Sets and Generalized Nets, 11, 1–8.
- Atanassov, K., Szmidt, E., & Kacprzyk, J. (2013). On intuitionistic fuzzy pairs. Notes on Intuitionistic Fuzzy Sets, 19(3), 1–13.
- Atanassov, K. (2012) On Intuitionistic Fuzzy Sets Theory, Springer, Berlin, 2012.
- Bureva, V., Petrov, P. R., Atanassova, V., & Umlenski, I. (2022). InterCriteria Analysis as a tool for analyzing Big Data datasets: Case study of 2021 national statistics of Bulgarian system of higher education. Notes on Intuitionistic Fuzzy Sets, 28(4), 464–474.
- Chorukova, E., Marinov, P., & Umlenski, I. (2021). Survey on Theory and Applications of InterCriteria Analysis Approach. In: Atanassov K.T. (eds) Research in Computer Science in the Bulgarian Academy of Sciences. Studies in Computational Intelligence, Vol. 934, 453–469. Springer, Cham.
- Doukovska, L., Atanassova, V., & Sotirova, E. (2019). European Union Member States’ Performance in the 2018 Global Competitiveness Index 4.0 through the Prism of InterCriteria Analysis. Proc. of the 4th International Conference on Numerical and Symbolic Computation Developments and Applications – SYMCOMP’19, 11-12 April 2019, Porto, Portugal, 251–261.
- Ikonomov, N., Vassilev, P., & Roeva, O. (2018). ICrAData – Software for InterCriteria Analysis. International Journal Bioautomation, 22(1), 1–10.
- Eurostat Data Browser (2023). Section Health. Available online at: https://ec.europa.eu/eurostat/databrowser/explore/all/popul?lang=en&subtheme=hlth.hlth_state.hlth_srcm&display=list&sort=category
- Sotirov, S., Atanassova, V., Sotirova, E., Doukovska, L., Bureva, V., Mavrov, D., & Tomov, J. (2017). Application of the Intuitionistic Fuzzy InterCriteria Analysis Method with triples to a Neural Network Preprocessing Procedure. Computational Intelligence and Neuroscience, 2017, Article ID 2157852.
- Yordanov, Z., Bureva, V., & Kahraman, C. (2023). InterCriteria Analysis applied to the Turkish Health and Social Protection datasets. Notes on Intuitionistic Fuzzy Sets, 29(1), 56–64.
|
| Citations:
|
The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.
|
|
