A Call to Clarify Fuzzy Sets

Berman, Alan L.; Silverman, Morton M.

doi:10.1027/0227-5910/a000673

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2024

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Cited by 2 publications

References 30 publications

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Research Progress in Mixed Reality and Simultaneous Motion Simulation

Li,

Ji,

Feng

et al. 2024

Lecture Notes in Electrical Engineering

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Research Progress in Mixed Reality and Simultaneous Motion Simulation

Li,

Ji,

Feng

et al. 2024

Lecture Notes in Electrical Engineering

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Effect of COVID-19 on Selected Characteristics of Life Satisfaction Reflected in a Fuzzy Model

Mikołajewski

Prokopowicz

2022

Applied Sciences

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The general goal of the research in this article is to devise an algorithm for assessing overall life satisfaction—a term often referred to as Quality of Life (QoL). It is aggregated to its own proposition, called personal life usual satisfaction (PLUS). An important assumption here is that the model is based on already known and commonly used solutions, such as medical (psychological and physiotherapeutic) questionnaires. Thanks to this, the developed solution allows us to obtain a synergy effect from the existing knowledge, without the need to design new, complicated procedures. Fuzzy multivariate characterization of life satisfaction presents a challenge for a complete analysis of the phenomenon. The complexity of description using multiple scales, including linguistic, requires additional computational solutions, as presented in this paper. The detailed aim of this study is twofold: (1) to develop a fuzzy model reflecting changes in life satisfaction test scores as influenced by the corona virus disease 2019 (COVID-19) pandemic, and (2) to develop guidelines for further research on more advanced models that are clinically useful. Two groups affected by professional burnout to different degrees were analyzed toward life satisfaction twice (pre- and during pandemy): a study group (physiotherapists, n=25) and a reference group (computer scientists, n=25). The Perceived Stress Score (PSS10), Maslach Burnout Inventory (MBI), Satisfaction with Life Scale (SWLS), and Nordic Musculoskeletal Questionnaire (NMQ) were used. The resultant model is based on a hierarchical fuzzy system. The novelty of the proposed approach lies in the combination of the use of data from validated clinimetric tests with the collection of data from characteristic time points and the way in which they are analyzed using fuzzy logic through transparent and scalable hierarchical models. To date, this approach is unique and has no equivalent in the literature. Thanks to the hierarchical structure, the evaluation process can be defined as a modular construction, which increases transparency and makes the whole procedure more flexible.

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A Call to Clarify Fuzzy Sets

Cited by 2 publications

References 30 publications

Research Progress in Mixed Reality and Simultaneous Motion Simulation

Research Progress in Mixed Reality and Simultaneous Motion Simulation

Effect of COVID-19 on Selected Characteristics of Life Satisfaction Reflected in a Fuzzy Model

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