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

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  • Ziwei Shu

    (Department of Statistics and Data Science, Faculty of Statistics, Complutense University of Madrid, 28040 Madrid, Spain)

  • Ramón Alberto Carrasco

    (Department of Management and Marketing, Faculty of Commerce and Tourism, Complutense University of Madrid, 28223 Madrid, Spain)

  • Javier Portela García-Miguel

    (Department of Statistics and Data Science, Faculty of Statistics, Complutense University of Madrid, 28040 Madrid, Spain)

  • Manuel Sánchez-Montañés

    (Department of Computer Science, Universidad Autónoma de Madrid, 28049 Madrid, Spain)

Abstract

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.

Suggested Citation

  • Ziwei Shu & Ramón Alberto Carrasco & Javier Portela García-Miguel & Manuel Sánchez-Montañés, 2022. "Multiple Scenarios of Quality of Life Index Using Fuzzy Linguistic Quantifiers: The Case of 85 Countries in Numbeo," Mathematics, MDPI, vol. 10(12), pages 1-28, June.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:12:p:2091-:d:840477
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    1. Paolo Paruolo & Michaela Saisana & Andrea Saltelli, 2013. "Ratings and rankings: voodoo or science?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 609-634, June.
    2. Giuseppe Munda, 2016. "Multiple Criteria Decision Analysis and Sustainable Development," International Series in Operations Research & Management Science, in: Salvatore Greco & Matthias Ehrgott & José Rui Figueira (ed.), Multiple Criteria Decision Analysis, edition 2, chapter 0, pages 1235-1267, Springer.
    3. Grupp, Hariolf & Mogee, Mary Ellen, 2004. "Indicators for national science and technology policy: how robust are composite indicators?," Research Policy, Elsevier, vol. 33(9), pages 1373-1384, November.
    4. Bouyssou, Denis, 1986. "Some remarks on the notion of compensation in MCDM," European Journal of Operational Research, Elsevier, vol. 26(1), pages 150-160, July.
    5. Micheal P. Niemira, 2001. "An AHP-Based Composite Cyclical-Performance Index," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 36(1), pages 241-250, January.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Débora Pereira & Caroline Mota, 2016. "Human Development Index Based on ELECTRE TRI-C Multicriteria Method: An Application in the City of Recife," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(1), pages 19-45, January.
    8. Panagiotis Ravanos & Giannis Karagiannis, 2021. "A VEA Benefit-of-the-Doubt Model for the HDI," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 27-46, May.
    9. Stephen Hicks & Lucy Tinkler & Paul Allin, 2013. "Measuring Subjective Well-Being and its Potential Role in Policy: Perspectives from the UK Office for National Statistics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(1), pages 73-86, October.
    10. Enzo Barberio Mariano & Diogo Ferraz & Simone Cristina Oliveira Gobbo, 2021. "The Human Development Index with Multiple Data Envelopment Analysis Approaches: A Comparative Evaluation Using Social Network Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(2), pages 443-500, September.
    11. Ling Rothrock & Jing Yin, 2008. "Integrating Compensatory and Noncompensatory Decision-Making Strategies in Dynamic Task Environments," Springer Optimization and Its Applications, in: Tamar Kugler & J. Cole Smith & Terry Connolly & Young-Jun Son (ed.), Decision Modeling and Behavior in Complex and Uncertain Environments, pages 125-141, Springer.
    12. Badea, Anca Costescu & Rocco S., Claudio M. & Tarantola, Stefano & Bolado, Ricardo, 2011. "Composite indicators for security of energy supply using ordered weighted averaging," Reliability Engineering and System Safety, Elsevier, vol. 96(6), pages 651-662.
    13. C. West Churchman & Russell L. Ackoff, 1954. "An Approximate Measure of Value," Operations Research, INFORMS, vol. 2(2), pages 172-187, May.
    14. Jiri Zuzanek & Tamara Zuzanek, 2015. "Of Happiness and of Despair, Is There a Measure? Time Use and Subjective Well-being," Journal of Happiness Studies, Springer, vol. 16(4), pages 839-856, August.
    15. Claudiu Vaida-Muntean & Vergil Voineagu & Gabriela Munteanu, 2014. "Uncertainty And Sensitivity In Statistical Data," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 62(12), pages 29-36, December.
    16. Ewa Roszkowska & Marzena Filipowicz-Chomko, 2020. "Measuring sustainable development in the education area using multi-criteria methods: a case study," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(4), pages 1219-1241, December.
    17. Pilar Murias & José Miguel & David Rodríguez, 2008. "A Composite Indicator for University Quality Assesment: The Case of Spanish Higher Education System," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 89(1), pages 129-146, October.
    18. Stergios Athanassoglou, 2015. "Revisiting Worst-case DEA for Composite Indicators," Working Papers 2015.13, Fondazione Eni Enrico Mattei.
    19. Grupp, Hariolf & Schubert, Torben, 2010. "Review and new evidence on composite innovation indicators for evaluating national performance," Research Policy, Elsevier, vol. 39(1), pages 67-78, February.
    20. Nicky Rogge & Ilse Nijverseel, 2019. "Quality of Life in the European Union: A Multidimensional Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(2), pages 765-789, January.
    21. Ed Diener & Shigehiro Oishi & Louis Tay, 2018. "Advances in subjective well-being research," Nature Human Behaviour, Nature, vol. 2(4), pages 253-260, April.
    22. Joel McGuire & Caspar Kaiser & Anders M. Bach-Mortensen, 2022. "A systematic review and meta-analysis of the impact of cash transfers on subjective well-being and mental health in low- and middle-income countries," Nature Human Behaviour, Nature, vol. 6(3), pages 359-370, March.
    23. Attardi, Raffaele & Cerreta, Maria & Sannicandro, Valentina & Torre, Carmelo Maria, 2018. "Non-compensatory composite indicators for the evaluation of urban planning policy: The Land-Use Policy Efficiency Index (LUPEI)," European Journal of Operational Research, Elsevier, vol. 264(2), pages 491-507.
    24. M. Saisana & A. Saltelli & S. Tarantola, 2005. "Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 307-323, March.
    25. Samira El Gibari & Trinidad Gómez & Francisco Ruiz, 2019. "Building composite indicators using multicriteria methods: a review," Journal of Business Economics, Springer, vol. 89(1), pages 1-24, February.
    26. Yue Meng & Haoyue Wu & Wenjing Zhao & Wenkuan Chen & Hasan Dinçer & Serhat Yüksel, 2021. "A hybrid heterogeneous Pythagorean fuzzy group decision modelling for crowdfunding development process pathways of fintech-based clean energy investment projects," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-34, December.
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