Research Activities

Publications and scientific seminars of the research group

Using Fuzzy Hierarchical Analysis to Select a Productive Grain Harvester

The study develops a fuzzy hierarchical analysis methodology for selecting a productive grain harvester.

Authors: Kerimkhulle, S.; Adalbek, A.; Bulakbay, Z.; Mugauina, R.; Uchkampirova, A.; Slanbekova, A.
Journal: Lecture Notes in Networks and Systems
Presented at: Presented online at the 9th International Conference on Computational Methods in Systems and Software, CoMeSySo 2025, held on 1–3 October 2025 in Zlín, Czech Republic.
Bibliographic reference: Kerimkhulle, S., Adalbek, A., Bulakbay, Z., Mugauina, R., Uchkampirova, A., Slanbekova, A. Using Fuzzy Hierarchical Analysis to Select a Productive Grain Harvester. Lecture Notes in Networks and Systems, 2026, 1901 LNNS, 341–349.
Indexing: Q4 · Web of Science · CiteScore 29% (Scopus)
DOI: https://doi.org/10.1007/978-3-032-22236-7_26
Scopus: https://www.scopus.com/pages/publications/105040236071
Scopus citations: 0
Publication date: 2026-05-01
Grant: AP26196337

Using Markov Chain Model to Forecasting of the Agricultural Industry Development

The study develops a methodology for forecasting agricultural industry development using a Markov chain model.

Authors: Kerimkhulle, S.; Turtkarayeva, G.; Mussaibekov, R.; Ospanova, N.; Kuttykozhayeva, S.; Adalbek, A.
Journal: Lecture Notes in Networks and Systems
Presented at: Presented online at CoMeSySo 2024, held on 12–14 October 2024 in Zlín, Czech Republic.
Bibliographic reference: Kerimkhulle, S., Turtkarayeva, G., Mussaibekov, R., Ospanova, N., Kuttykozhayeva, S., Adalbek, A. Using Markov Chain Model to Forecasting of the Agricultural Industry Development. Lecture Notes in Networks and Systems, 2025, 1489 LNNS, 148–158.
Indexing: Q4 · Web of Science · CiteScore 29% (Scopus)
DOI: https://doi.org/10.1007/978-3-031-96798-6_14
Scopus: https://www.scopus.com/pages/publications/105015299574
Scopus citations: 8
Publication date: 2025-08-30
Grant: AP26196337

Forecasting for Japanese Yen to Dollar Exchange Rate Based on Fuzzy Logic

The study develops a fuzzy-logic methodology for forecasting the Japanese yen to US dollar exchange rate.

Authors: Kerimkhulle, S.; Kuttykozhayeva, S.; Turtkarayeva, G.; Seitova, T.; Ospanova, N.; Iskakov, Y.
Journal: Lecture Notes in Networks and Systems
Presented at: Presented online at CoMeSySo 2024, held on 12–14 October 2024 in Zlín, Czech Republic.
Bibliographic reference: Kerimkhulle, S., Kuttykozhayeva, S., Turtkarayeva, G., Seitova, T., Ospanova, N., Iskakov, Y. Forecasting for Japanese Yen to Dollar Exchange Rate Based on Fuzzy Logic. Lecture Notes in Networks and Systems, 2025, 1489 LNNS, 18–26.
Indexing: Q4 · Web of Science · CiteScore 29% (Scopus)
DOI: https://doi.org/10.1007/978-3-031-96798-6_3
Scopus: https://www.scopus.com/pages/publications/105015301858
Scopus citations: 4
Publication date: 2025-08-30
Grant: AP26196337

Using the Fuzzy Logic Models for Analysis of Time Phases of Crude Oil Prices: Brent-Europe

The study develops a methodology for analysing temporal phases of Brent-Europe crude oil prices using fuzzy logic methods and models.

Authors: Kerimkhulle, S.; Kuttykozhayeva, S.; Turtkarayeva, G.; Seitova, T.; Ospanova, N.; Toleubay, D.
Journal: Lecture Notes in Networks and Systems
Presented at: Presented online at the 8th International Conference on Computational Methods in Systems and Software, CoMeSySo 2024, held on 12–14 October 2024 in Zlín, Czech Republic.
Bibliographic reference: Kerimkhulle, S., Kuttykozhayeva, S., Turtkarayeva, G., Seitova, T., Ospanova, N., Toleubay, D. Using the Fuzzy Logic Models for Analysis of Time Phases of Crude Oil Prices: Brent-Europe. Lecture Notes in Networks and Systems, 2025, 1489 LNNS, 9–17.
Indexing: Q4 · Web of Science · CiteScore 29% (Scopus)
DOI: https://doi.org/10.1007/978-3-031-96798-6_2
Scopus: https://www.scopus.com/pages/publications/105015295454
Scopus citations: 4
Publication date: 2025-08-30
Grant: AP26196337

Computational Modelling of Equilibrium Growth and Sustainable Development in Kazakhstan's Financial and Insurance Activities

The study focuses on computational modelling of equilibrium growth and sustainable development in Kazakhstan's financial and insurance activities.

Authors: Kerimkhulle, S.; Alimova, Z.
Corresponding author: Alimova, Z.
Journal: OPSEARCH (Springer India)
ISSN: 0030-3887, eISSN: 0975-0320
Indexing: Q2 · Web of Science Core Collection: ESCI · CiteScore 55% (Scopus)
Grant: AP26196337

Open Scientific Seminar: Economic Data-driven Digital Science

An open scientific seminar, Economic Data-driven Digital Science, was organized for young researchers of the Department of Information Systems at the Institute of Digital Sciences and Artificial Intelligence under the supervision of Professor S.E. Kerimkul. The seminar sessions discussed research results in data-driven economic science.

Event format: Hybrid: online and offline

Discussed topics:

Development of a methodology for analysing temporal phases of Brent-Europe crude oil prices using fuzzy logic
Development of a fuzzy-logic methodology for forecasting the Japanese yen to US dollar exchange rate
Development of a methodology for forecasting agricultural industry development using a Markov chain model
Development of a fuzzy hierarchical analysis methodology for selecting a productive grain harvester