Workplace Well-Being Through Nature-Based Solutions: A Fuzzy Framework for Decision-Making
The rise in performance and health concerns presents a complex challenge to workplace well-being. While existing research highlights the positive impact of exposure to nature on well-being, there is a gap in supporting biophilic building designs in workplaces. This study addresses this issue by intr...
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Language: | English |
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MDPI AG
2024-12-01
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Online Access: | https://www.mdpi.com/2075-5309/15/1/117 |
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author | Adriano Bressane Marcos Vinícius de Castro |
author_facet | Adriano Bressane Marcos Vinícius de Castro |
author_sort | Adriano Bressane |
collection | DOAJ |
description | The rise in performance and health concerns presents a complex challenge to workplace well-being. While existing research highlights the positive impact of exposure to nature on well-being, there is a gap in supporting biophilic building designs in workplaces. This study addresses this issue by introducing a Type-1 Interval Fuzzy Set (IFS) framework to assess workplace health, and recommends Nature-Based Solutions (NbS) for enhancement. The proposed framework comprises two fuzzy subsystems targeting environmental comfort and occupational health that are integrated into a third subsystem to provide tailored NbS recommendations. A case study conducted in a coworking space validated the framework’s practical application, revealing significant improvements in environmental and occupational conditions. Key findings include a reduction in absenteeism, enhancement in employee satisfaction, and creation of more comfortable and restorative environments. Recommendations, such as green walls, indoor gardens, and natural light filters, have been shown to effectively mitigate discomfort and promote well-being. The framework demonstrated flexibility in managing uncertainties, optimizing resource allocation, and providing targeted interventions for workplace conditions. These results highlight the framework’s potential as a robust decision-support tool for improving workplace health and well-being through systematic and evidence-based strategies. |
format | Article |
id | doaj-art-df1166cc982d44e0bc4ba81d65d5d551 |
institution | Kabale University |
issn | 2075-5309 |
language | English |
publishDate | 2024-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Buildings |
spelling | doaj-art-df1166cc982d44e0bc4ba81d65d5d5512025-01-10T13:16:06ZengMDPI AGBuildings2075-53092024-12-0115111710.3390/buildings15010117Workplace Well-Being Through Nature-Based Solutions: A Fuzzy Framework for Decision-MakingAdriano Bressane0Marcos Vinícius de Castro1Institute of Science and Technology, São Paulo State University, Presidente Dutra Highway, Km 137,8, São José dos Campos City 12247-004, BrazilInstitute of Science and Technology, São Paulo State University, Presidente Dutra Highway, Km 137,8, São José dos Campos City 12247-004, BrazilThe rise in performance and health concerns presents a complex challenge to workplace well-being. While existing research highlights the positive impact of exposure to nature on well-being, there is a gap in supporting biophilic building designs in workplaces. This study addresses this issue by introducing a Type-1 Interval Fuzzy Set (IFS) framework to assess workplace health, and recommends Nature-Based Solutions (NbS) for enhancement. The proposed framework comprises two fuzzy subsystems targeting environmental comfort and occupational health that are integrated into a third subsystem to provide tailored NbS recommendations. A case study conducted in a coworking space validated the framework’s practical application, revealing significant improvements in environmental and occupational conditions. Key findings include a reduction in absenteeism, enhancement in employee satisfaction, and creation of more comfortable and restorative environments. Recommendations, such as green walls, indoor gardens, and natural light filters, have been shown to effectively mitigate discomfort and promote well-being. The framework demonstrated flexibility in managing uncertainties, optimizing resource allocation, and providing targeted interventions for workplace conditions. These results highlight the framework’s potential as a robust decision-support tool for improving workplace health and well-being through systematic and evidence-based strategies.https://www.mdpi.com/2075-5309/15/1/117workplace well-beingenvironmental healthnature-based solutionsfuzzy logicartificial intelligence |
spellingShingle | Adriano Bressane Marcos Vinícius de Castro Workplace Well-Being Through Nature-Based Solutions: A Fuzzy Framework for Decision-Making Buildings workplace well-being environmental health nature-based solutions fuzzy logic artificial intelligence |
title | Workplace Well-Being Through Nature-Based Solutions: A Fuzzy Framework for Decision-Making |
title_full | Workplace Well-Being Through Nature-Based Solutions: A Fuzzy Framework for Decision-Making |
title_fullStr | Workplace Well-Being Through Nature-Based Solutions: A Fuzzy Framework for Decision-Making |
title_full_unstemmed | Workplace Well-Being Through Nature-Based Solutions: A Fuzzy Framework for Decision-Making |
title_short | Workplace Well-Being Through Nature-Based Solutions: A Fuzzy Framework for Decision-Making |
title_sort | workplace well being through nature based solutions a fuzzy framework for decision making |
topic | workplace well-being environmental health nature-based solutions fuzzy logic artificial intelligence |
url | https://www.mdpi.com/2075-5309/15/1/117 |
work_keys_str_mv | AT adrianobressane workplacewellbeingthroughnaturebasedsolutionsafuzzyframeworkfordecisionmaking AT marcosviniciusdecastro workplacewellbeingthroughnaturebasedsolutionsafuzzyframeworkfordecisionmaking |