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

K. S. Solodukhin, G. S. Zavalin and D. V. Makarova

University Management: Practice and Analysis, 2025, vol. 29, issue 1

Abstract: 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.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:adf:journl:y:2025:id:1979

DOI: 10.15826/umpa.2025.01.009

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