Application of fuzzy decision support systems in IT industry functioning

Dudnyk Oleksii; Sokolovska Zoia; Alexander Gegov; Farzad Arabikhan

doi:10.1007/978-3-031-51664-1_20

Application of fuzzy decision support systems in IT industry functioning

Dudnyk Oleksii^*, Sokolovska Zoia, Alexander Gegov, Farzad Arabikhan^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The information technology (IT) market occupies a significant place in the world’s economy and in times of rapid digitalization will only continue to increase its influence. Under conditions of environment’s increased functioning entropy caused by crises or military conflicts, the importance of IT industry’s stable functioning can’t be overstated. This paper considers the possibility of fuzzy decision support systems (DSS) efficient usage to forecast and predict the dynamics of IT industry functioning within a scope of a single country, using Ukraine’s IT industry as an example. The software platform used for demonstration purposes is the authentically de-signed fuzzy DSS FuzzyKIDE. The mathematical basis of the platform’s functioning is fuzzy logic, which makes it possible to take into account the influences of a set of factors of different natures and obtain a reasonable assessment with potentially inaccurate information. The structure of DSS is offered, using a combined model of the semantic network and fuzzy implication rules. Fuzzy rules are based on predetermined relationships between key influence factors, the analysis of which is offered as well. The use of the DSS is aimed at forming a holistic forecast of IT industry development. The operation of the DSS is demonstrated in the example of Ukraine’s IT industry functioning at different points in time. Comparing the conclusions of the DSS with the historical statistical data of Ukraine’s IT industry functioning proves the feasibility of fuzzy DSS usage.

Original language	English
Title of host publication	Advances in Information Systems, Artificial Intelligence and Knowledge Management. ICIKS 2023
Subtitle of host publication	6th International Conference on Information and Knowledge Systems, ICIKS 2023, Portsmouth, UK, June 22–23, 2023, Proceedings
Editors	Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri, Salem Chakhar, Nigel Williams, Ella Haig
Publisher	Springer
Chapter	20
Pages	283-295
Number of pages	13
Edition	1st
ISBN (Electronic)	9783031516641
ISBN (Print)	9783031516634
DOIs	https://doi.org/10.1007/978-3-031-51664-1_20
Publication status	Published - 20 Jan 2024
Event	The 6th International Conference on Information and Knowledge Systems - Portsmouth Business School, Portsmouth, United Kingdom Duration: 22 Jun 2023 → 23 Jun 2023 Conference number: 6 https://iciks.org/

Publication series

Name	Lecture Notes in Business Information Processing
Publisher	Springer Nature
Volume	486
ISSN (Print)	1865-1348
ISSN (Electronic)	1865-1356

Conference

Conference	The 6th International Conference on Information and Knowledge Systems
Abbreviated title	ICIKS2023
Country/Territory	United Kingdom
City	Portsmouth
Period	22/06/23 → 23/06/23
Internet address	https://iciks.org/

Keywords

IT industry
development trends
fuzzy logic
ecision support system
FuzzyKIDE software platform

Access to Document

10.1007/978-3-031-51664-1_20

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Accepted author manuscript (Post-print), 215 KB
Due to publisher’s copyright restrictions, this document is not freely available to download from this website until: 20/01/25

Cite this

Oleksii, D., Zoia, S., Gegov, A., & Arabikhan, F. (2024). Application of fuzzy decision support systems in IT industry functioning. In I. Saad, C. Rosenthal-Sabroux, F. Gargouri, S. Chakhar, N. Williams, & E. Haig (Eds.), Advances in Information Systems, Artificial Intelligence and Knowledge Management. ICIKS 2023: 6th International Conference on Information and Knowledge Systems, ICIKS 2023, Portsmouth, UK, June 22–23, 2023, Proceedings (1st ed., pp. 283-295). (Lecture Notes in Business Information Processing; Vol. 486). Springer. https://doi.org/10.1007/978-3-031-51664-1_20

Oleksii, Dudnyk ; Zoia, Sokolovska ; Gegov, Alexander et al. / Application of fuzzy decision support systems in IT industry functioning. Advances in Information Systems, Artificial Intelligence and Knowledge Management. ICIKS 2023: 6th International Conference on Information and Knowledge Systems, ICIKS 2023, Portsmouth, UK, June 22–23, 2023, Proceedings. editor / Inès Saad ; Camille Rosenthal-Sabroux ; Faiez Gargouri ; Salem Chakhar ; Nigel Williams ; Ella Haig. 1st. ed. Springer, 2024. pp. 283-295 (Lecture Notes in Business Information Processing).

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Oleksii, D, Zoia, S, Gegov, A & Arabikhan, F 2024, Application of fuzzy decision support systems in IT industry functioning. in I Saad, C Rosenthal-Sabroux, F Gargouri, S Chakhar, N Williams & E Haig (eds), Advances in Information Systems, Artificial Intelligence and Knowledge Management. ICIKS 2023: 6th International Conference on Information and Knowledge Systems, ICIKS 2023, Portsmouth, UK, June 22–23, 2023, Proceedings. 1st edn, Lecture Notes in Business Information Processing, vol. 486, Springer, pp. 283-295, The 6th International Conference on Information and Knowledge Systems, Portsmouth, United Kingdom, 22/06/23. https://doi.org/10.1007/978-3-031-51664-1_20

Application of fuzzy decision support systems in IT industry functioning. / Oleksii, Dudnyk; Zoia, Sokolovska; Gegov, Alexander et al.
Advances in Information Systems, Artificial Intelligence and Knowledge Management. ICIKS 2023: 6th International Conference on Information and Knowledge Systems, ICIKS 2023, Portsmouth, UK, June 22–23, 2023, Proceedings. ed. / Inès Saad; Camille Rosenthal-Sabroux; Faiez Gargouri; Salem Chakhar; Nigel Williams; Ella Haig. 1st. ed. Springer, 2024. p. 283-295 (Lecture Notes in Business Information Processing; Vol. 486).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Oleksii D, Zoia S, Gegov A , Arabikhan F. Application of fuzzy decision support systems in IT industry functioning. In Saad I, Rosenthal-Sabroux C, Gargouri F, Chakhar S, Williams N, Haig E, editors, Advances in Information Systems, Artificial Intelligence and Knowledge Management. ICIKS 2023: 6th International Conference on Information and Knowledge Systems, ICIKS 2023, Portsmouth, UK, June 22–23, 2023, Proceedings. 1st ed. Springer. 2024. p. 283-295. (Lecture Notes in Business Information Processing). doi: 10.1007/978-3-031-51664-1_20