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Contractor Selection for Sgraffito Decoration of Cultural Heritage Buildings Using the WASPAS-SVNS Method

Author

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  • Zydrune Morkunaite

    (Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania)

  • Romualdas Bausys

    (Department of Graphical Systems, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania)

  • Edmundas Kazimieras Zavadskas

    (Institute of Sustainable Construction, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania)

Abstract

Sgraffito is an ancient decorative technique applied in walls, produced by using layers of cement plaster tinted in contrasting colours to a moistened surface. This decoration originated in Italy and has been expanded in different European cities or villages. Nowadays, this decoration technique has almost disappeared because of decomposition, inexperience, or lack of knowledge. The preservation and restoration of the sgraffito technique is the most challenging and vital task of cultural heritage buildings’ preservation. Consequently, the conservation of sgraffito depends not only on the historical and architectural knowledge, studies, and conservation projects of the cultural heritage buildings, but also demands the experience, proper qualification, and knowledge of the contractor. This paper presents six principal criteria. Three possible variants for contractor selection for sgraffito decoration of cultural heritage buildings are proposed, and six principal criteria for their evaluation are suggested. The research employs the Analytic Hierarchy Process (AHP), SWARA (Step-Wise Weights Assessment Ratio Analysis), and WASPAS-SVNS (Weight Aggregated Sum Product Assessment-Single- Valued Neutrosophic Set) methods.

Suggested Citation

  • Zydrune Morkunaite & Romualdas Bausys & Edmundas Kazimieras Zavadskas, 2019. "Contractor Selection for Sgraffito Decoration of Cultural Heritage Buildings Using the WASPAS-SVNS Method," Sustainability, MDPI, vol. 11(22), pages 1-25, November.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:22:p:6444-:d:287589
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    2. Min-Yuan Cheng & Shu-Hua Yeh & Woei-Chyi Chang, 2020. "Multi-Criteria Decision Making of Contractor Selection in Mass Rapid Transit Station Development Using Bayesian Fuzzy Prospect Model," Sustainability, MDPI, vol. 12(11), pages 1-32, June.
    3. Hamidreza Khalesi & Amirhossein Balali & Alireza Valipour & Jurgita Antucheviciene & Darius Migilinskas & Viaceslav Zigmund, 2020. "Application of Hybrid SWARA–BIM in Reducing Reworks of Building Construction Projects from the Perspective of Time," Sustainability, MDPI, vol. 12(21), pages 1-20, October.
    4. Aziz Naghizadeh Vardin & Ramin Ansari & Mohammad Khalilzadeh & Jurgita Antucheviciene & Romualdas Bausys, 2021. "An Integrated Decision Support Model Based on BWM and Fuzzy-VIKOR Techniques for Contractor Selection in Construction Projects," Sustainability, MDPI, vol. 13(12), pages 1-28, June.

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