Hybrid MCDM for Cloud Services: AHP(blocks) & Entropy, TOPSIS & MOORA (case study based on QoS and QoE criteria)

Iliyan Petrov
In the methodology part of this study, we introduced a combined "AHP-block and Entropy" approach for improving of Multi-Criteria Decision Making (MCDM) for Cloud Services (CS) selection. On this basis, we optimize the combination of professional experts' opinion and objectivity of entropy criteria weighting. In this second part, we test our findings on an existing universal dataset with Quality of Service (QoS) and Quality of Experience (QoE) criteria and adapting for the needs of individual users and small education organizations under conditions of COVID-19 pandemics.