A Hybrid MCDA Framework for Quality of Life Assessment:Integrating Objective Weighting and ESP-SPOTIS with a Compromise COMET Model

This paper proposes a novel hybrid Multi-Criteria Decision Analysis (MCDA) framework aimed at assessing Quality of Life (QoL) among students. The framework integrates four objective weighting methods (Gini, Equal, CRITIC, and Angle) with the Expected Solution Point Stable Preference Ordering Towards Ideal Solution (ESP-SPOTIS) method, which allows for personalization of the decision-making process through the specification of an ESP. This hybridization enables the construction of rankings that reflect both objective criteria importance and subjective expectations regarding an ideal QoL profile. To compare the consistency between the different hybrid models, Weighted Spearman and Kendall Tau correlation coefficients were calculated. To further support decision stability and reconcile differences across models, a Compromise COMET (C-COMET) model was developed. It aggregates evaluations over characteristic objects using a voting-based Matrix of Expert Judgment (MEJ). The results demonstrate that the proposed approach provides a stable, interpretable, and flexible method for analyzing Quality of Life, particularly within educational environments, where individual needs and holistic well-being are critical. This methodology can be adapted to broader QoL applications in social, urban, and policy contexts.