An intelligent Multi-criteria Decision-making Model for Sustainable Higher Education Strategy Selection

Abstract

This study provides a means for institutions and administrations to develop plans while taking into consideration the strategic linkages. Making strategic decisions on their programming may benefit institutions and governments when relevant material is examined and talks with higher education specialists are held (HE). To handle disagreement and different criteria, multi-criteria decision-making (MCDM) models are utilized. The most effective solution was evaluated using the new multi-criteria technique known as MABAC (Multi-Attributive Border Approximation area Comparison). Following the computation of the criterion weights, the MABAC is used to rank the options. The recommended approach may be used by institutions as well as central planners (usually the government) in higher education policy.