Multiple Scenarios of Quality of Life Index Using Fuzzy Linguistic Quantifiers: The Case of 85 Countries in Numbeo

In economic development, in addition to comparing the gross domestic product (GDP) between nations, it is critical assess quality of life gain a holistic perspective their different aspects. However, index (QOLI) subjective term that can be difficult quantify. Although this composite typically calculated using universal weights proposed by experts aggregate indicators, such as safety indexes, healthcare pollution and housing complicated balance multiple dimensions whose are adjusted account for countries’ circumstances. Therefore, paper aims construct various scenarios QOLI, linguistic quantifiers ordered weighted averaging (OWA) operator, 2-tuple model. Numbeo, one largest information databases, was used estimate QOLI 85 countries. Uncertainty sensitivity analyses were employed robustness QOLI. The results model compared with those obtained Numbeo formulation. show increases interpretability obtains QOLIs, based on diverse country contexts.