RT Journal Article
T1 Multiple scenarios of quality of life index using fuzzy linguistic quantifiers: the case of 85 countries in Numbeo
A1 Shu, Ziwei
A1 Carrasco González, Ramón Alberto
A1 Portela García-Miguel, Javier
A1 Manuel Sánchez-Montañés, Manuel
A2 Chiclana, Francisco
AB In economic development, in addition to comparing the gross domestic product (GDP) between nations, it is critical to assess the quality of life to gain a holistic perspective of their different aspects. However, the quality of life index (QOLI) is a subjective term that can be difficult to quantify. Although this composite index is typically calculated using universal weights proposed by experts to aggregate indicators, such as safety indexes, healthcare indexes, pollution indexes, and housing indicators, it is complicated to balance multiple dimensions whose weights are adjusted to account for different countries’ circumstances. Therefore, this paper aims to construct various scenarios of the QOLI, using linguistic quantifiers of the ordered weighted averaging (OWA) operator, and the 2-tuple linguistic model. Numbeo, one of the largest quality of life information databases, was used in this paper to estimate the QOLI in 85 countries. Uncertainty and sensitivity analyses were employed to assess the robustness of the QOLI. The results of the proposed model are compared with those obtained using the Numbeo formulation. The results show that the proposed model increases the linguistic interpretability of the QOLI, and obtains different QOLIs, based on diverse country contexts.
PB MDPI
SN 2227-7390
YR 2022
FD 2022-06-16
LK https://hdl.handle.net/20.500.14352/91320
UL https://hdl.handle.net/20.500.14352/91320
LA eng
NO Shu, Z.; Carrasco, R.A.; García-Miguel, J.P.; Sánchez-Montañés, M. Multiple Scenarios of Quality of Life Index Using Fuzzy Linguistic Quantifiers: The Case of 85 Countries in Numbeo. Mathematics 2022
NO Agencia Estatal de Investigación AEI/FEDER Spain
NO Comunidad Autónoma de Madrid, Spain
DS Docta Complutense
RD 23 ago 2024