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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その他の著者: Plebankiewicz, Edyta (編集者)
フォーマット: 電子媒体 図書の章
言語:英語
出版事項: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
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要約: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.
物理的記述:1 electronic resource (220 p.)
ISBN:books978-3-0365-2296-8
9783036522951
9783036522968
アクセス:Open Access