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 proceedingConference contribution


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 languageEnglish
Title of host publicationAdvances in Information Systems, Artificial Intelligence and Knowledge Management. ICIKS 2023
Subtitle of host publication6th International Conference on Information and Knowledge Systems, ICIKS 2023, Portsmouth, UK, June 22–23, 2023, Proceedings
EditorsInès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri, Salem Chakhar, Nigel Williams, Ella Haig
Number of pages13
ISBN (Electronic)9783031516641
ISBN (Print)9783031516634
Publication statusPublished - 20 Jan 2024
EventThe 6th International Conference on Information and Knowledge Systems - Portsmouth Business School, Portsmouth, United Kingdom
Duration: 22 Jun 202323 Jun 2023
Conference number: 6

Publication series

NameLecture Notes in Business Information Processing
PublisherSpringer Nature
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356


ConferenceThe 6th International Conference on Information and Knowledge Systems
Abbreviated titleICIKS2023
Country/TerritoryUnited Kingdom
Internet address


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

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