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

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