Balanced Development of the University’s Intellectual Capital Based on Fuzzy Multi-Criteria Models

This study aims to develop and validate fuzzy multi-criteria models designed to facilitate the balanced development of a university intellectual capital. Fuzzy logic tools offer significant advantages in supporting managerial decision-making for intellectual capital development, particularly given its inherent complexity and evolving structure in the digital economy. The proposed models integrate fuzzy fair compromise approaches and multi-criteria optimization with target functions generated through simulation procedures. These models enable the prioritization of intellectual capital development project portfolios based on three key criteria: (1) proportional development, (2) portfolio utility, and (3) resource requirements. We present and analyze test results from applying these models at a large regional university. The findings demonstrate the framework’s effectiveness in supporting strategic decision-making for intellectual capital growth. This research provides university administrators with practical tools to ensure balanced development of institutional intellectual capital across all organizational levels.