Quality of life and life satisfaction are topics that currently receive a great deal of attention across the globe. Many approaches exist, which use both qualitative and quantitative methods, to capture these phenomena. Historically, quality of life was measured exclusively by economic indicators. However, it is indisputable that other factors influence people’s life satisfaction, which is captured by subjective survey-based data. By contrast, objective data can easily be obtained and cover a wider range, in terms of population and area. In this research, the multiple fuzzy linear regression model is applied in order to explain the relationship between subjective life satisfaction and selected objective indicators used to evaluate quality of life. The great advantage of the fuzzy model lies in its ability to capture uncertainty, which is undoubtedly associated with the vague concept of subjective life satisfaction. The main outcome of the paper is the detection of indicators that have a statistically significant relationship with life satisfaction. Subsequently, a pan-European sub-national prediction of life satisfaction after the consideration of the most relevant input indicators was proposed, including the uncertainty associated with the prediction of such a phenomenon. The study revealed significant regional differences and similarities between the originally reported satisfaction of life and the predicted one. With the help of spatial and non-spatial statistics supported by visual analysis, it is possible to assess life satisfaction more precisely, while taking into account the ambiguity of the perception of life satisfaction. Additionally, predicted values supplemented with the uncertainty measure (fuzzy approach) and the synthesis of results in the form of European typology help to compare and contrast the results in a more useful manner than in existing studies.

中文翻译：

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主观还是客观？欧洲客观测量与主观生活满意度的关系

生活质量和生活满意度是当前全球范围内备受关注的话题。存在许多使用定性和定量方法来捕获这些现象的方法。从历史上看，生活质量完全由经济指标来衡量。但是，毫无疑问，其他因素也会影响人们的生活满意度，这可以通过基于主观调查的数据来把握。相比之下，就人口和面积而言，可以轻松获得客观数据并涵盖更广泛的范围。在这项研究中，应用多元模糊线性回归模型来解释主观生活满意度与用于评估生活质量的选定客观指标之间的关系。模糊模型的最大优势在于它能够捕获不确定性，这无疑与主观生活满意度的模糊概念有关。本文的主要结果是检测与生活满意度具有统计学意义的指标。随后，在考虑了最相关的输入指标之后，提出了泛欧洲次国家对生活满意度的预测，包括与预测这种现象相关的不确定性。这项研究揭示了最初报道的生活满意度和预测的生活满意度之间存在显着的区域差异和相似性。借助视觉分析支持的空间和非空间统计，可以更精确地评​​估生活满意度，同时考虑到对生活满意度的理解的歧义。另外，