Conceptual Modeling of Word Formation in IT Terminology: An MCE Approach

Abstract

This study proposes a conceptual modeling approach based on Multi-Criteria Evaluation (MCE) for the analysis of complex systems with interacting heterogeneous factors, formulated in semi-quantitative terms, in which determining an optimal balance is a central modeling problem. The approach integrates structural analysis, influence modeling, and utility-based evaluation into a unified methodology that enables both interpretation and quantitative assessment of system behavior. The proposed approach is applied to a case study of term formation in IT terminology, where linguistic and cognitive parameters are treated as system variables. Two competing scenarios are modeled: structure-oriented formation, driven by morphological regularities, and economy-driven formation, governed by cognitive efficiency principles. By mapping these scenarios into a multidimensional utility space, the model enables the identification of trade-offs and optimal configurations. The results demonstrate that, in the context of IT terminology, the economy-driven principle dominates the overall system evaluation, indicating that communicative efficiency and compression play a decisive role in shaping term formation under contemporary conditions. At the same time, structural factors contribute to system stability through balancing feedback mechanisms.