Abstract:Numerous countries are trying to find the best solution for conservation, restoration or reuse of the heritage buildings, preserving their cultural, historical, ethnic and spiritual values. The scientists, researchers and government are analysing the problems concerning with heritage building’s, like seismic issues, energy saving, sustainability, structures, materials and adaptive reuse. Since, heritage buildings’ reuse and preservation are characterized by multiple criteria, a multi-criteria decision making (… Show more
“…Regardless of method or approach for topic detection, which mentioned above, previous research analysis in these domains are limited to narrow research areas or are done for the specific location. For example, International Business [23], Industrial Productivity [5], Supply Chain Resilience [24], Public Private Partnership [14], Information Privacy [16], Cloud Computing [4], Health Information Technology [25], Grean Building based studies [26], and Multiple Criteria Decision Making [27] were analyzed. In some cases, analyzing the research status of a domain in a specific location has been considered; Environmental Science in Iran [28], Biomedical Engineering in Thailand [18] and management in Latin America and the Caribbean [6] are some samples.…”
Information Technology (IT), Management and Industrial Engineering are correlated academic disciplines which their publications rose significantly over the last decades. The aim of this study is analyzing the research evolution, determining the important topics and areas and depiction the trend of interdisciplinary topics in these domains. To accomplish this, the text mining techniques are used and the combination of bibliographic analysis and topic modeling approach are applied on their publications in the WOS repository over the last 20 years. In the topic extraction process, a heuristic function was suggested to key extraction, and some new applicable criteria were defined to compare the topics. Moreover, a novel approach was proposed to determine the high-level category for each topic. The results determined the hot-important topics and incremented, decremented and fixed topics are identified. Subsequently, comparing the high-level research areas confirmed the strong scientific relationships between them. This study presents a deep knowledge about internal research evolution of domains and illustrates the effect of topics on each other over the past 20 years. Furthermore, the methodology of this study could be applied to determine the interdisciplinary topics and observe the research evolution of other academic domains.
“…Regardless of method or approach for topic detection, which mentioned above, previous research analysis in these domains are limited to narrow research areas or are done for the specific location. For example, International Business [23], Industrial Productivity [5], Supply Chain Resilience [24], Public Private Partnership [14], Information Privacy [16], Cloud Computing [4], Health Information Technology [25], Grean Building based studies [26], and Multiple Criteria Decision Making [27] were analyzed. In some cases, analyzing the research status of a domain in a specific location has been considered; Environmental Science in Iran [28], Biomedical Engineering in Thailand [18] and management in Latin America and the Caribbean [6] are some samples.…”
Information Technology (IT), Management and Industrial Engineering are correlated academic disciplines which their publications rose significantly over the last decades. The aim of this study is analyzing the research evolution, determining the important topics and areas and depiction the trend of interdisciplinary topics in these domains. To accomplish this, the text mining techniques are used and the combination of bibliographic analysis and topic modeling approach are applied on their publications in the WOS repository over the last 20 years. In the topic extraction process, a heuristic function was suggested to key extraction, and some new applicable criteria were defined to compare the topics. Moreover, a novel approach was proposed to determine the high-level category for each topic. The results determined the hot-important topics and incremented, decremented and fixed topics are identified. Subsequently, comparing the high-level research areas confirmed the strong scientific relationships between them. This study presents a deep knowledge about internal research evolution of domains and illustrates the effect of topics on each other over the past 20 years. Furthermore, the methodology of this study could be applied to determine the interdisciplinary topics and observe the research evolution of other academic domains.
“…Because of these differences, revitalization technologies used in present-day buildings can be useless for and may cause damage to traditionally constructed buildings, leading to loss of cultural heritage. As the refurbishment of heritage buildings is described by multiple criteria, multi-criteria decision making (MCDM) methods can be applied to find rational solutions for construction heritage revitalization or conservation [26].…”
Section: Mcdm For Built Heritagementioning
confidence: 99%
“…MCDM methods suggested to use for built heritage decisions are becoming more applicable for various problems in civil engineering, construction and building technology. After analyzing Clarivate Analytic Web of Science publications, it can be stated that the topic of heritage buildings is widely analyzed in engineering civil, construction building technology, materials science multidisciplinary, architecture, computer science interdisciplinary applications and computer science categories [26].…”
Section: Mcdm For Built Heritagementioning
confidence: 99%
“…The three most often used MCDM methods in the area are the analytic hierarchy process (AHP), the analytic network process (ANP) and fuzzy Delphi. Experts' knowledge is also used for assessment of cultural heritage value and selection of optimal alternative for its conservation or refurbishment [26].…”
A balance (symmetry) between socio-cultural and socio-economic benefits as a part of the economic, social, and cultural development policy of each city and country should be assured when converting built heritage. To anticipate building conversion priorities and opportunities, modern technologies can be employed. However, currently the activity of reconstruction of heritage buildings is part of the construction domain wherein modern digital technologies have been the least ever applied. Therefore, photogrammetry and the 3D modeling of existing heritage buildings was suggested. A case study of Sapieha Palace, built in the Baroque style in 1689–1691 in Vilnius, Lithuania was explored in this research. The applied technologies and software (Agisoft Photoscan, Autodesk ReCap and Autodesk Revit) allowed for the creation of a high quality and accurate model involving both the textured exterior of the building and the interior layout. In addition, the valuable features of a building were identified and marked in a three-dimensional digital model. Based on the model, the authors formulated possible conversion alternatives of the building and identified the associated decision-making criteria, as well as determined their relative significance by an expert survey method. The authors suggested the application of the multiple criteria decision making (MCDM) method under uncertainty, namely the rough weighted aggregated sum product assessment (WASPAS), for ranking alternatives according to multiple criteria. Therefore, the suggested integration of modern digital technologies and decision-making models helps to assure the rational conversion decision of built cultural heritage based on high accuracy data as well as contributing to the sustainable development of engineering processes.
“…This method has been applied to solve problems of the attractiveness of cultural heritage sites [74], sustainable historic waterfront revitalization decision support [75], renovation projects of cultural heritage buildings [76], contractor selection of cultural heritage buildings [77], optimized fire protection of cultural heritage structures [78], etc. The application of the AHP method in the cultural heritage field was presented by Morkūnaitė et al [79].…”
Section: Significance Of Represented Criteriamentioning
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.
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