Events The 6th International Electronic Conference on Applied Sciences

Event submissions

Published

This submission belongs to the session S3. Computing and Artificial Intelligence of the event The 6th International Electronic Conference on Applied Sciences

Published date

03 Dec, 2025

Academic Editor

Lucia Billeci

Citation

Sara Samy Alkafas, Evgeniy A. Kalashnikov, A Machine Learning-Integrated Decision Tree and AHP Multi-Criteria Decision-Making Approach for High-Temperature Thermochemical Energy Storage Materials, in Proceedings of The 6th International Electronic Conference on Applied Sciences, 9 December–11 December 2025, MDPI: Basel, Switzerland

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A Machine Learning-Integrated Decision Tree and AHP Multi-Criteria Decision-Making Approach for High-Temperature Thermochemical Energy Storage Materials

Sara Samy Alkafas ^1,2

Evgeniy A. Kalashnikov ¹

1. Department of Automation and Control of Technological Processes and Production, Institute of Information Technology and Computer Science, National University of Science and Technology MISIS, Leninsky Prospekt 4, Moscow 119049, Russia

2. Production Engineering and Mechanical Design Department, Faculty of Engineering, Menofia University, Menofia 32511, Egypt

Abstract

Keywords

High-temperature thermochemical energy storage (HT-TCES)

Decision Tree (DT)

Analytic Hierarchy Process (AHP)

Machine learning

Multi-criteria decision-making (MCDM)

Feature selection

Material selection