Measuring quality of life in Europe: A new fuzzy multicriteria approach

Javier Reig-Mullor, Ana Garcia-Bernabeu, David Pla-Santamaria and Francisco Salas-Molina

Technological Forecasting and Social Change, 2024, vol. 206, issue C

Abstract: Quality of life indicators include measures of both objective and subjective well-being to broaden the traditional income-focused view towards a multidimensional view of welfare. In this paper, we develop a single reliable composite index employing fuzzy mathematical modelling that considers the effect of uncertainty and imprecision related to the specific nature of the phenomenon being measured. Additionally, we suggest a procedure for incorporating this new way of assigning priorities through multicriteria techniques. To this end, we propose a new multicriteria approach that introduces the recent notion of picture fuzzy sets to deal with uncertainty and imprecision in the assessment of objective and subjective dimensions of quality-of-life performance. To verify the effectiveness of the whole approach and the credibility of the results, we show its application for monitoring the quality of life in the European Union. Our results show that fuzzy numbers can be a useful tool when combined with multicriteria techniques in the prioritization phase of the criteria and that they increase the quality and reliability of the overall aggregate indicator. Furthermore, through statistical measures we found that in a picture environment the results are consistent regardless of the multi-criteria approach used to provide a final classification.

Keywords: Quality of life; Composite indicators; Data uncertainty; Picture fuzzy set; Ranking; Economic performance (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:206:y:2024:i:c:s0040162524002907

DOI: 10.1016/j.techfore.2024.123494

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