Evaluation of Universities QoS using Fuzzy Cognitive Maps
DOI:
https://doi.org/10.61007/QdC.2023.3.158Keywords:
Optimization, Fuzzy Logic, Fuzzy Cognitive Maps, Decision MakingAbstract
HEIs’ digital transformation is revealing a variety of new opportunities for improving not only their current online teaching practices but also their overall business operations. The processing of data can be further expanded using a range of advanced techniques, as is the case of cognitive tree maps, fuzzy networks, or even evolutionary algorithms, to examine and explain how the behaviour of a complex system, such as an HEI, is affected by the multiple conditions changing over time. The design of such a tool and the development of an optimization system that can determine ideal values for these aspects are covered in the proposal. The present work introduces a tool for the evaluation of the HEI Quality of Service factor (HEI-QoS), using a Fuzzy Cognitive Map designed for a specific purpose. The FCM model uses eight concepts which characterize the HEI operation and performance, taking into consideration the most well- known HEI rankling tools. Concepts values can be estimated from a field research analysis inside the HEI resulting in a very useful internal evaluation tool for a HEI.
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