Probabilistic and Fuzzy Approaches for Estimating the Life Cycle Costs of Buildings

• Autore: Plebankiewicz Edyta
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (220 p.)
• Soggetto topico: Technology: general issues
• Soggetto non controllato: Bayes conditional probability; bidding decision; buildings; cause-effect relationships; CBA; classification; commercial and recreational complex building projects; complex evaluation; construction; COPRAS and INVAR methods; critical risk factors; damage; defects; drift ratio; dynamic analysis; economic evaluation; European Union Member States; fuzzy sets; historical buildings; implementation factors; information and communication technology; intensity; investment project; LCC criterion; life cycle; life cycle costs; lifecycles; maintenance; marketing; MCDM; multiple criteria analysis; occurrences; operation and maintenance phase; optimization; price criterion; probability distribution; probability of winning; railway infrastructure; reliability; residential buildings; risk assessment; risk identification; sensitivity analyses; socioeconomic impact; statistical method; steel frames; substitution; success and image of a country; sustainable construction industry; technical wear; tenement houses; Tuned Mass Damper
• Persona (resp. second.): PlebankiewiczEdyta
• Sommario/riassunto: 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.
• Titolo autorizzato: Probabilistic and Fuzzy Approaches for Estimating the Life Cycle Costs of Buildings
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557659003321
• Lo trovi qui: Univ. Federico II