2009
DOI: 10.1016/j.autcon.2008.10.006
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GA-based decision support system for housing condition assessment and refurbishment strategies

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Cited by 109 publications
(77 citation statements)
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“…They are based on expert systems (Borissova, Mustakerov 2012) and AI (Artificial Intelligence) methods utilising fuzzy sets (Bucoń, Sobotka 2015), neural networks, evolutionary algorithms, etc. (Juan et al 2009;Perng et al 2007). The examples of other DSS systems based on the stochastic approach include: BMDSS (Building Maintenance Decision Support System) developed by Langevine et al (2006) and BELCAM (Building Envelope Life Cycle Asset Management) developed by Lounis and Vanier (2000).…”
Section: Methods and Models For Building Maintenancementioning
confidence: 99%
See 1 more Smart Citation
“…They are based on expert systems (Borissova, Mustakerov 2012) and AI (Artificial Intelligence) methods utilising fuzzy sets (Bucoń, Sobotka 2015), neural networks, evolutionary algorithms, etc. (Juan et al 2009;Perng et al 2007). The examples of other DSS systems based on the stochastic approach include: BMDSS (Building Maintenance Decision Support System) developed by Langevine et al (2006) and BELCAM (Building Envelope Life Cycle Asset Management) developed by Lounis and Vanier (2000).…”
Section: Methods and Models For Building Maintenancementioning
confidence: 99%
“…elements assessed using linguistic terms -see 2.1. Description of accepted building condition criteria can be found in such studies as Ho et al (2012); Juan et al (2009);; Kaklauskas et al (2005). Estimation of the weighted average score for each requirement in line with the Eq.…”
Section: Example Of Applicationmentioning
confidence: 99%
“…In addition, they used energy consumption, initial investment cost, and CO 2 emissions in the objective function. Juan et al [11] developed a genetic algorithm-based decision support system and researched the balance of cost and quality in home renovations. Chantrelle et al [6] developed a software with an interface that employed the genetic algorithm for the renovation of buildings and contained energy consumption, thermal comfort, cost, and environmental impact.…”
Section: Recent Studies On Building An Optimization Problemmentioning
confidence: 99%
“…For instance, Juan et al (2009a) proposed a decision-making model for housing refurbishment. The model conducts housing condition assessment and offers optimal refurbishment actions considering the trade-off between cost and quality.…”
Section: The Conceptual Model For the Integrated Analysis Of Built Anmentioning
confidence: 99%