Probabilistic and Fuzzy Approaches for Estimating the Life Cycle Costs of Buildings
The Life cycle cost (LCC) method makes it possible for the whole life performance of buildings and other structures to be optimized. The introduction of the idea of thinking in terms of a building life cycle resulted in the need to use appropriate tools and techniques for assessing and analyzing cos...
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| Format: | Online |
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| Langue: | anglais |
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MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Accès en ligne: | ONIX_20220111_9783036522951_753 |
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| collection | Directory of Open Access Books |
| description | The Life cycle cost (LCC) method makes it possible for the whole life performance of buildings and other structures to be optimized. The introduction of the idea of thinking in terms of a building life cycle resulted in the need to use appropriate tools and techniques for assessing and analyzing costs throughout the life cycle of the building. Traditionally, estimates of LCC have been calculated based on historical analysis of data and have used deterministic models. The concepts of probability theory can also be applied to life cycle costing, treating the costs and timings as a stochastic process. If any subjectivity is introduced into the estimates, then the uncertainty cannot be handled using the probability theory alone. The theory of fuzzy sets is a valuable tool for handling such uncertainties. In this Special Issue, a collection of 11 contributions provide an updated overview of the approaches for estimating the life cycle cost of buildings. |
| format | Online |
| id | doab-20.500.12854ir-76921 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-769212024-04-09T23:16:27Z Probabilistic and Fuzzy Approaches for Estimating the Life Cycle Costs of Buildings Plebankiewicz, Edyta dynamic analysis steel frames Tuned Mass Damper optimization drift ratio sustainable construction industry lifecycles European Union Member States complex evaluation multiple criteria analysis COPRAS and INVAR methods success and image of a country marketing residential buildings defects intensity reliability technical wear railway infrastructure occurrences socioeconomic impact economic evaluation CBA life cycle investment project probability distribution sensitivity analyses risk assessment tenement houses damage maintenance fuzzy sets Bayes conditional probability substitution operation and maintenance phase cause–effect relationships historical buildings implementation factors information and communication technology life cycle costs buildings bidding decision LCC criterion price criterion construction statistical method classification probability of winning risk identification MCDM critical risk factors commercial and recreational complex building projects thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues The Life cycle cost (LCC) method makes it possible for the whole life performance of buildings and other structures to be optimized. The introduction of the idea of thinking in terms of a building life cycle resulted in the need to use appropriate tools and techniques for assessing and analyzing costs throughout the life cycle of the building. Traditionally, estimates of LCC have been calculated based on historical analysis of data and have used deterministic models. The concepts of probability theory can also be applied to life cycle costing, treating the costs and timings as a stochastic process. If any subjectivity is introduced into the estimates, then the uncertainty cannot be handled using the probability theory alone. The theory of fuzzy sets is a valuable tool for handling such uncertainties. In this Special Issue, a collection of 11 contributions provide an updated overview of the approaches for estimating the life cycle cost of buildings. 2022-01-11T13:46:31Z 2022-01-11T13:46:31Z 2021 book ONIX_20220111_9783036522951_753 9783036522951 9783036522968 https://directory.doabooks.org/handle/20.500.12854/76921 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4512 https://mdpi.com/books/pdfview/book/4512 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-2296-8 10.3390/books978-3-0365-2296-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036522951 9783036522968 220 Basel, Switzerland open access |
| spellingShingle | dynamic analysis steel frames Tuned Mass Damper optimization drift ratio sustainable construction industry lifecycles European Union Member States complex evaluation multiple criteria analysis COPRAS and INVAR methods success and image of a country marketing residential buildings defects intensity reliability technical wear railway infrastructure occurrences socioeconomic impact economic evaluation CBA life cycle investment project probability distribution sensitivity analyses risk assessment tenement houses damage maintenance fuzzy sets Bayes conditional probability substitution operation and maintenance phase cause–effect relationships historical buildings implementation factors information and communication technology life cycle costs buildings bidding decision LCC criterion price criterion construction statistical method classification probability of winning risk identification MCDM critical risk factors commercial and recreational complex building projects thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Probabilistic and Fuzzy Approaches for Estimating the Life Cycle Costs of Buildings |
| title | Probabilistic and Fuzzy Approaches for Estimating the Life Cycle Costs of Buildings |
| title_full | Probabilistic and Fuzzy Approaches for Estimating the Life Cycle Costs of Buildings |
| title_fullStr | Probabilistic and Fuzzy Approaches for Estimating the Life Cycle Costs of Buildings |
| title_full_unstemmed | Probabilistic and Fuzzy Approaches for Estimating the Life Cycle Costs of Buildings |
| title_short | Probabilistic and Fuzzy Approaches for Estimating the Life Cycle Costs of Buildings |
| title_sort | probabilistic and fuzzy approaches for estimating the life cycle costs of buildings |
| topic | dynamic analysis steel frames Tuned Mass Damper optimization drift ratio sustainable construction industry lifecycles European Union Member States complex evaluation multiple criteria analysis COPRAS and INVAR methods success and image of a country marketing residential buildings defects intensity reliability technical wear railway infrastructure occurrences socioeconomic impact economic evaluation CBA life cycle investment project probability distribution sensitivity analyses risk assessment tenement houses damage maintenance fuzzy sets Bayes conditional probability substitution operation and maintenance phase cause–effect relationships historical buildings implementation factors information and communication technology life cycle costs buildings bidding decision LCC criterion price criterion construction statistical method classification probability of winning risk identification MCDM critical risk factors commercial and recreational complex building projects thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | dynamic analysis steel frames Tuned Mass Damper optimization drift ratio sustainable construction industry lifecycles European Union Member States complex evaluation multiple criteria analysis COPRAS and INVAR methods success and image of a country marketing residential buildings defects intensity reliability technical wear railway infrastructure occurrences socioeconomic impact economic evaluation CBA life cycle investment project probability distribution sensitivity analyses risk assessment tenement houses damage maintenance fuzzy sets Bayes conditional probability substitution operation and maintenance phase cause–effect relationships historical buildings implementation factors information and communication technology life cycle costs buildings bidding decision LCC criterion price criterion construction statistical method classification probability of winning risk identification MCDM critical risk factors commercial and recreational complex building projects thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | ONIX_20220111_9783036522951_753 |