Optimization Of IT Project Management Processes Based on Neuro-Fuzzy Mathematical Modeling

Authors

Olena Skliarenko
Private Higher Educational Establishment “European University”
Oleksandr Nikolaievskyi
Private Higher Educational Establishment “European University”
Yanina Kolodinska
Private Higher Educational Establishment “European University”
Leonid Lytvynenko
Private Higher Educational Establishment “European University”
Hanna Tereshchuk
Taras Shevchenko National University of Kyiv image/svg+xml
DOI: https://doi.org/10.52549/ijeei.v14i3.8112
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Published: 30-09-2026 • Issue: Vol. 14 No. 3: September 2026 • Section: Regular paper

Abstract

The study addressed adaptive software-effort estimation under multifactor uncertainty by formalizing and evaluating a neuro-fuzzy project management model that integrated interval type-2 fuzzification, local weighted regression, Energy-Efficient BAT parameter optimization, and sequential online updating. Empirical verification used four public software-effort datasets: NASA93, Desharnais, Albrecht, and Kemerer. Dataset-specific predictors were processed independently, while software development effort was used as the target. All preprocessing, fuzzy partitioning, and parameter tuning were fitted only within training folds. Repeated five-fold cross-validation with ten repetitions and predict-then-update online adaptation were applied to prevent target leakage. The corrected model achieved a mean magnitude of relative error of 0.021±0.006, root mean square error of 0.011±0.003, prediction at 25% of 0.989±0.012, correlation of 0.969±0.010, and prediction index of 0.918±0.015. The results showed a balanced accuracy-adaptability trade-off relative to the selected baselines, while external enterprise validation remained necessary
Keywords: Neuro-Fuzzy Modeling; Type-2 Fuzzy Logic; Effort Estimation; Evolutionary Optimization; Deep Hybrid Architecture.

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Author Biographies

Olena Skliarenko
Department of Mathematical Disciplines and Innovative Design, Faculty of Information Technology, Cybersecurity and Robotics
Oleksandr Nikolaievskyi
Department of Cybersecurity and Information Protection, Faculty of Information Technology, Cybersecurity and Robotics
Yanina Kolodinska
Department of Mathematical Disciplines and Innovative Design, Faculty of Information Technology, Cybersecurity and Robotics
Leonid Lytvynenko
Department of Computer Science and Software Engineering, Faculty of Information Technology, Cybersecurity and Robotics
Hanna Tereshchuk
Department of Information Systems and Technology, Faculty of Information Technology

How to Cite

[1]
O. Skliarenko, O. Nikolaievskyi, Y. Kolodinska, L. Lytvynenko, and H. Tereshchuk, “Optimization Of IT Project Management Processes Based on Neuro-Fuzzy Mathematical Modeling”, IJEEI, vol. 14, no. 3, pp. 895–908, Sep. 2026, doi: 10.52549/ijeei.v14i3.8112.