Forecasting IT industry trends using a fuzzy Decision Support System

Oleksii Dudnyk, Zoia Sokolovska, Alexander Gegov, Farzad Arabikhan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Downloads (Pure)

Abstract

The Information Technology (IT) industry plays a vital role in the global economy and its significance will only continue to grow as digitalization accelerates. During times of increased entropy resulting from crises or military conflicts, the stable functioning of the IT industry is of paramount importance. This study explores the possibility of using a fuzzy Decision Support System (DSS) to forecast and predict how the IT industry in a specific country will operate. For the purpose of demonstration, we use self-developed FuzzyKIDE fuzzy DSS software platform, which employs fuzzy logic to provide a reasonable assessment even when the information is imprecise. We propose a DSS structure that utilizes a combined model of semantic networks and fuzzy implication rules. To demonstrate its effectiveness, we analyze Ukraine's IT industry at various time points and compare the results with historical data.
Original languageEnglish
Title of host publicationProceedings of the 2023 IEEE Conference on Artificial Intelligence
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages181-182
Number of pages2
ISBN (Electronic)9798350339840
ISBN (Print)9798350339857
DOIs
Publication statusPublished - 2 Aug 2023
Event2023 IEEE Conference on Artificial Intelligence, CAI 2023 - Santa Clara, United States
Duration: 5 Jun 20236 Jun 2023

Conference

Conference2023 IEEE Conference on Artificial Intelligence, CAI 2023
Country/TerritoryUnited States
CitySanta Clara
Period5/06/236/06/23

Keywords

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

Cite this