An experience curve-based decision support model for prioritizing restoration needs of cultural heritage

Kim, Chang Jun; Yoo, Wi Sung; Lee, Ung-Kyun; Song, Keun Jeong; Kang, Kyung-In; Cho, Hunhee

doi:10.1016/j.culher.2010.03.004

Cited by 40 publications

(19 citation statements)

References 20 publications

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“…Four design concepts and eight criteria were considered. Kim et al [25] applied SAHP and knowledge-based experience curve (EC) to rank restoration needs. AHP and SAHP are compared for ordering restoration needs of cultural heritage.…”

Section: Stochastic Ahp and Anp Methods And Applicationsmentioning

confidence: 99%

Stochastic multi-criteria decision-making: an overview to methods and applications

Çelik

Gül

Yücesan

et al. 2019

Beni-Suef Univ J Basic Appl Sci

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Background: The alternatives selection problem with multi-criteria in stochastic form variables is called as stochastic multi-criteria decision-making. The stochasticity of the criteria is considered using stochastic dominance, prospect theory, and regret theory.Main text: In this paper, a total 61 papers are reviewed and analyzed based on method(s) used in stochastic multicriteria decision-making problem, method used in stochasticity, specific objective, application area, and so on classification. All papers with respect to classification aspects are examined their real or empirical applications. Moreover, the studies are statistically investigated to present the latest trends of stochastic multi-criteria decision-making.Conclusions: This detailed review study ensures a comprehension for researchers on stochastic multi-criteria decisionmaking in respect of showing up-to-date literature and potential research areas to be concentrated in the future. It is observed that the stochastic multi-criteria decision-making problem has an attractive approach by researchers.

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Section: Stochastic Ahp and Anp Methods And Applicationsmentioning

confidence: 99%

Stochastic multi-criteria decision-making: an overview to methods and applications

Çelik

Gül

Yücesan

et al. 2019

Beni-Suef Univ J Basic Appl Sci

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“…Another crucial issue is linked to Cultural Heritage conservation. The aim here, is to make reliable diagnosis to help the restoration decision (Kim et al 2010;Cacciotti et al 2015). This implies a multidisciplinary interpretation and a comprehensive knowledge based system in which modelling and predicting alteration processes are crucial steps.…”

Section: Analyses At Nanometer Scalementioning

confidence: 99%

From Archaeological Sites to Nanoscale: The Quest of Tailored Analytical Strategy and Modelling

Bellot‐Gurlet

Dillmann

Neff

2016

Nanoscience and Cultural Heritage

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Last developments of nano probes allows scientists of Cultural Heritage to assess a new kind of information that is crucial in the different topics concerned by the field: determining ancient manufacturing processes, studying use and provenance of ancient artefacts, revealing the degradation processes and developing adapted cleaning and conservation treatments. Nevertheless to be useful, these nanoscale approaches must be integrated in a tailored multi-step analysis. The final aim of these approaches will be to reach understanding and/or reliable modelling of the behaviours of the ancient systems. A first part of this chapter will review the issues in Cultural Heritage and the nature of the physico-chemical data that can be collected on the systems. In a second part, a selection of examples dealing with nano characterisation in Cultural Heritage will allow us to present several up to date techniques and methodologies employed in Cultural Heritage science. Then, the third part of the chapter will review some of the different modelling attempts that where already made in the domain of Cultural Heritage, and that were based on the use of physico-chemical descriptions at different scales. The challenge for the next future will be, for different kind of materials and environments, to propose multiscale models from nano to functional scale. Some key steps to face these challenges bridging the gap between multiscale descriptive characterisation and numerical modelling are reviewed here.L. Bellot-Gurlet MONARIS "de la Molécule aux Nano-objets: Réactivité, Interactions et Spectroscopies", UMR 8233,

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“…Another specific problem faced with multi-criteria techniques relates to the evaluation of the priority of the intervention between several buildings, with reference to both restoration and/or requalification [29][30][31][32] and seismic improvement interventions [33]. With regard to ecclesiastical buildings, Sangiorgio et al [34] used AHP analysis to define an exposure index linked to the artistic and architectural value, to be integrated in the vulnerability assessment.…”

Section: Applications Of Multi-criteria Analysis To Interventions On mentioning

confidence: 99%

An AHP-Based Methodology for the Evaluation and Choice of Integrated Interventions on Historic Buildings

2020

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Historic buildings are at the center of cultural and economic interests, due to issues related to their conservation and protection as well as their use and technical-performance efficiency. They are often considered within the accepted meaning of ‘assets-resource’. In recent years, there has been a significant increase in the research and development of methodologies to appropriately intervene on this type of heritage assets. This contribution defines a methodology to select interventions capable of combining protection requirements with performance upgrading, as part of integrated seismic improvement and energy-environmental retrofit strategies. The aim is to develop a tool that not only supports Public Administrations in the planning/designing of appropriate interventions but also private investors in a partnership perspective. Given the need to use a multidisciplinary and multi-criteria approach, the AHP (Analytic Hierarchy Process) method has been used; it allows for the comparison of various intervention alternatives on the basis of certain evaluation criteria, aimed at obtaining a preference index. This approach allows us to support the decision-maker in making the most appropriate choice, according to a rationally structured procedure.

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An experience curve-based decision support model for prioritizing restoration needs of cultural heritage

Cited by 40 publications

References 20 publications

Stochastic multi-criteria decision-making: an overview to methods and applications

Stochastic multi-criteria decision-making: an overview to methods and applications

From Archaeological Sites to Nanoscale: The Quest of Tailored Analytical Strategy and Modelling

An AHP-Based Methodology for the Evaluation and Choice of Integrated Interventions on Historic Buildings

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