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A bibliometric data analysis of multi-criteria decision making methods in heritage buildings

    Žydrūnė Morkūnaitė Affiliation
    ; Darius Kalibatas Affiliation
    ; Diana Kalibatienė Affiliation

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 (MCDM) methods are useful in finding rational solutions for the previously mentioned problems. The current paper aims to overview papers on the MCDM approaches application in regard to heritage buildings’ reuse and preservation area. This study employs a bibliometric data analysis to explore state-of-the-art of the defined topic and an in-deep analysis – to synthesize the knowledge domain and critically evaluate a thorough literature in the analysed topic. As a result, scientific maps were created to reveal the knowledge domain of MCDM approaches in heritage buildings’ reuse and preservation. Finally, research gaps and future research directions are identified. Results of the analysis shows that till now MCDM approaches are not widely used in solving heritage buildings reuse and preservation issues. Moreover, there is luck of complex problem solving approach in cultural heritage buildings area.

Keyword : heritage building, historic building, multi-criteria decision-making, multi-criteria analysis, AHP, fuzzy analysis, MCDM, literature review

How to Cite
Morkūnaitė, Žydrūnė, Kalibatas, D., & Kalibatienė, D. (2019). A bibliometric data analysis of multi-criteria decision making methods in heritage buildings. Journal of Civil Engineering and Management, 25(2), 76-99. https://doi.org/10.3846/jcem.2019.8315
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Feb 8, 2019
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Ameyaw, E. E., Hu, Y., Shan, M., Chan, A. P., & Le, Y. (2016). Application of Delphi method in construction engineering and management research: a quantitative perspective. Journal of Civil Engineering and Management, 22(8), 991-1000. https://doi.org/10.3846/13923730.2014.945953

Arksey, H., & O’Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19-32. https://doi.org/10.1080/1364557032000119616

Aruldoss, M., Lakshmi, T. M., & Venkatesan, V. P. (2013). A survey on multi criteria decision making methods and its applications. American Journal of Information Systems, 1(1), 31-43.

Asadi, P., Rezaeian Zeidi, J., Mojibi, T., Yazdani-Chamzini, A., & Tamošaitienė, J. (2018). Project risk evaluation by using a new fuzzy model based on Elena guideline. Journal of Civil Engineering and Management, 24(4), 284-300. https://doi.org/10.3846/jcem.2018.3070

Banasik, A., Bloemhof-Ruwaard, J. M., Kanellopoulos, A., Claassen, G. D. H., & van der Vorst, J. G. (2018). Multi-criteria decision making approaches for green supply chains: A review. Flexible Services and Manufacturing Journal, 30(3), 366-396. https://doi.org/10.1007/s10696-016-9263-5

Berg, F. (2018). Wear and tear of world heritage: Preventive conservation and tourism in Norway’s stave churches. Studies in Conservation, 63(sup1), 320-322. https://doi.org/10.1080/00393630.2018.1495459

Berg, F., Flyen, A. C., Godbolt, Å. L., & Broström, T. (2017). User-driven energy efficiency in historic buildings: A review. Journal of Cultural Heritage, 28, 188-195. https://doi.org/10.1016/j.culher.2017.05.009

Berta, M., Bottero, M., & Ferretti, V. (2018). A mixed methods approach for the integration of urban design and economic evaluation: Industrial heritage and urban regeneration in China. Environment and Planning B: Urban Analytics and City Science, 45(2), 208-232. https://doi.org/10.1177/0265813516669139

Bohnet, I. C., Roebeling, P. C., Williams, K. J., Holzworth, D., van Grieken, M. E., Pert, P. L., Kroon, F. J., Westcott, D. A., & Brodie, J. (2011). Landscapes Toolkit: an integrated modelling framework to assist stakeholders in exploring options for sustainable landscape development. Landscape Ecology, 26(8), 1179. https://doi.org/10.1007/s10980-011-9640-0

Bozic, S., Vujičić, M. D., Kennell, J., Besermenji, S., & Solarević, M. (2018). Sun, sea and shrines: Application of analytic hierarchy process (AHP) to assess the attractiveness of six cultural heritage sites in Phuket: Thailand. Geographica Pannonica, 22(2), 121-138. https://doi.org/10.5937/22-16983

Cabeza, L. F., de Gracia, A., & Pisello, A. L. (2018). Integration of renewable technologies in historical and heritage buildings: A review. Energy and Buildings, 177, 96-111. https://doi.org/10.1016/j.enbuild.2018.07.058

Cajot, S., Mirakyan, A., Koch, A., & Maréchal, F. (2017). Multicriteria decisions in urban energy system planning: a review. Frontiers in Energy Research, 5, 10. https://doi.org/10.3389/fenrg.2017.00010

Chen, C. S., Chiu, Y. H., & Tsai, L. (2018). Evaluating the adaptive reuse of historic buildings through multicriteria decision-making. Habitat International, 81, 12-23. https://doi.org/10.1016/j.habitatint.2018.09.003

Chen, Y., Yoo, S., & Hwang, J. (2016). Fuzzy multiple criteria decision-making assessment of urban conservation in historic districts: Case study of Wenming Historic Block in Kunming City, China. Journal of Urban Planning and Development, 143(1), 05016008. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000334

Claver, J., García-Domínguez, A., & Sebastián, M. A. (2018). Decision-making methodologies for reuse of industrial assets. Complexity, 2018. Article ID 4070496. https://doi.org/10.1155/2018/4070496

Colak, M., & Kaya, İ. (2017). Prioritization of renewable energy alternatives by using an integrated fuzzy MCDM model: A real case application for Turkey. Renewable and Sustainable Energy Reviews, 80, 840-853. https://doi.org/10.1016/j.rser.2017.05.194

Corradi, M., Di Schino, A., Borri, A., & Rufini, R. (2018). A review of the use of stainless steel for masonry repair and reinforcement. Construction and Building Materials, 181, 335-346. https://doi.org/10.1016/j.conbuildmat.2018.06.034

Cui, S., Yang, X., Guo, X., Lin, T., Zhao, Q., & Feng, L. (2011). Increased challenges for world heritage protection as a result of urbanisation in Lijiang City. International Journal of Sustainable Development & World Ecology, 18(6), 480-485. https://doi.org/10.1080/13504509.2011.603758

Culshaw, M. G., Nathanail, C. P., Leeks, G. J. L., Alker, S., Bridge, D., Duffy, T., Fowler, D., Pacjman, J. C., Swetnam, R., Wadsworth, R., & Wyatt, B. (2006). The role of web-based environmental information in urban planning – the environmental information system for planners. Science of The Total Environment, 360(1-3), 233-245. https://doi.org/10.1016/j.scitotenv.2005.08.037

Curtis, I. A. (2004). Valuing ecosystem goods and services: a new approach using a surrogate market and the combination of a multiple criteria analysis and a Delphi panel to assign weights to the attributes. Ecological Economics, 50(3-4), 163-194. https://doi.org/10.1016/j.ecolecon.2004.02.003

Danielová, M., Kumke, H., & Peters, S. (2016). 3D reconstruction and uncertainty modelling using fuzzy logic of archaeological structures: applied to the Temple of Diana in Nemi, Italy. Cartographica: The International Journal for Geographic Information and Geovisualization, 51(3), 137-146. https://doi.org/10.3138/cart.51.3.3160

de Almeida, A. T., Alencar, M. H., Garcez, T. V., & Ferreira, R. J. P. (2017). A systematic literature review of multicriteria and multi-objective models applied in risk management. IMA Journal of Management Mathematics, 28(2), 153-184. https://doi.org/10.1093/imaman/dpw021

de Jalón, S. G., Iglesias, A., Cunningham, R., & Díaz, J. I. P. (2014). Building resilience to water scarcity in southern Spain: a case study of rice farming in Doñana protected wetlands. Regional Environmental Change, 14(3), 1229-1242. https://doi.org/10.1007/s10113-013-0569-5

Dutta, M., & Husain, Z. (2009). An application of multicriteria decision making to built heritage. The case of Calcutta. Journal of Cultural Heritage, 10(2), 237-243. https://doi.org/10.1016/j.culher.2008.09.007

Feng, M., Liu, S., Euliss Jr, N. H., Young, C., & Mushet, D. M. (2011). Prototyping an online wetland ecosystem services model using open model sharing standards. Environmental Modelling & Software, 26(4), 458-468. https://doi.org/10.1016/j.envsoft.2010.10.008

Fernandes Rocha, P., & Calejo Rodrigues, R. (2016). Maintenance as a guarantee for roofing performance in buildings with heritage value. Buildings, 6(2), 1-15. https://doi.org/10.3390/buildings6020015

Fung, I. W., Tsang, Y. T., Tam, V. W., Xu, Y. T., & Mok, E. C. (2017). A review on historic building conservation: A comparison between Hong Kong and Macau systems. Renewable and Sustainable Energy Reviews, 71, 927-942. https://doi.org/10.1016/j.rser.2016.12.121

Gholitabar, S., Alipour, H., & Costa, C. M. M. D. (2018). An empirical investigation of architectural heritage management implications for tourism: The case of Portugal. Sustainability, 10(1), 93. https://doi.org/10.3390/su10010093

Girard, L. F., & De Toro, P. (2007). Integrated spatial assessment: a multicriteria approach to sustainable development of cultural and environmental heritage in San Marco dei Cavoti, Italy. Central European Journal of Operations Research, 15(3), 281-299. https://doi.org/10.1007/s10100-007-0031-1

Giuliani, F., De Falco, A., Landi, S., Bevilacqua, M. G., Santini, L., & Pecori, S. (2018). Reusing grain silos from the 1930s in Italy. A multi-criteria decision analysis for the case of Arezzo. Journal of Cultural Heritage, 29, 145-159. https://doi.org/10.1016/j.culher.2017.07.009

Gomes, V., Dionísio, A., & Pozo-Antonio, J. S. (2017). Conservation strategies against graffiti vandalism on cultural heritage stones: Protective coatings and cleaning methods. Progress in Organic Coatings, 113, 90-109. https://doi.org/10.1016/j.porgcoat.2017.08.010

Govindan, K., & Jepsen, M. B. (2016). ELECTRE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 250(1), 1-29. https://doi.org/10.1016/j.ejor.2015.07.019

Govindan, K., Rajendran, S., Sarkis, J., & Murugesan, P. (2015). Multi criteria decision making approaches for green supplier evaluation and selection: a literature review. Journal of Cleaner Production, 98, 66-83. https://doi.org/10.1016/j.jclepro.2013.06.046

Govindan, K., Shankar, K. M., & Kannan, D. (2016). Sustainable material selection for construction industry – A hybrid multi criteria decision making approach. Renewable and Sustainable Energy Reviews, 55, 1274-1288. https://doi.org/10.1016/j.rser.2015.07.100

Gregório, V., & Seixas, J. (2017). Energy savings potential in urban rehabilitation: A spatial-based methodology applied to historic centres. Energy and Buildings, 152, 11-23. https://doi.org/10.1016/j.enbuild.2017.06.024

Gul, M., Celik, E., Aydin, N., Gumus, A. T., & Guneri, A. F. (2016). A state of the art literature review of VIKOR and its fuzzy extensions on applications. Applied Soft Computing, 46, 60-89. https://doi.org/10.1016/j.asoc.2016.04.040

Guo, Z., Chen, W., Zhang, J., Ye, F., Liang, X., He, F., & Guo, Q. (2017). Hazard assessment of potentially dangerous bodies within a cliff based on the Fuzzy-AHP method: a case study of the Mogao Grottoes, China. Bulletin of Engineering Geology and the Environment, 76(3), 1009-1020. https://doi.org/10.1007/s10064-016-0865-7

Habib, C., Makhoul, A., Darazi, R., & Couturier, R. (2019). Health risk assessment and decision-making for patient monitoring and decision-support using wireless body sensor networks. Information Fusion, 47, 10-22. https://doi.org/10.1016/j.inffus.2018.06.008

Hajkowicz, S. (2007). A comparison of multiple criteria analysis and unaided approaches to environmental decision making. Environmental Science & Policy, 10(3), 177-184. https://doi.org/10.1016/j.envsci.2006.09.003

Hajkowicz, S. A. (2008). Supporting multi-stakeholder environmental decisions. Journal of Environmental Management, 88(4), 607-614. https://doi.org/10.1016/j.jenvman.2007.03.020

Hammarfelt, B., & Rushforth, A. D. (2017). Indicators as judgment devices: An empirical study of citizen bibliometrics in research evaluation. Research Evaluation, 26(3), 169-180. https://doi.org/10.1093/reseval/rvx018

Han, Y., & Wang, L. (2018). Identifying barriers to off-site construction using grey DEMATEL approach: case of China. Journal of Civil Engineering and Management, 24(5), 364-377. https://doi.org/10.3846/jcem.2018.5181

Hapciuc, O. E., Romanescu, G., Minea, I., Iosub, M., Enea, A., & Sandu, I. (2016). Flood susceptibility analysis of the cultural heritage in the Sucevita catchment (Romania). International Journal of Conservation Science, 7(2), 501-510.

Haustein, S., & Larivière, V. (2015). The use of bibliometrics for assessing research: Possibilities, limitations and adverse effects. In Incentives and performance (pp. 121-139). https://doi.org/10.1007/978-3-319-09785-5_8

He, Y., & Xu, Z. (2019). Multi-attribute decision making methods based on reference ideal theory with probabilistic hesitant information. Expert Systems with Applications, 118, 459-469. https://doi.org/10.1016/j.eswa.2018.10.014

Ho, W., Xu, X., & Dey, P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research, 202(1), 16-24. https://doi.org/10.1016/j.ejor.2009.05.009

Hosseini, M. R., Martek, I., Zavadskas, E. K., Aibinu, A. A., Arashpour, M., & Chileshe, N. (2018). Critical evaluation of off-site construction research: A Scientometric analysis. Automation in Construction, 87, 235-247. https://doi.org/10.1016/j.autcon.2017.12.002

Hsu, K. W., Lin, M. L., Chao, J. C., & Huang, S. F. (2018). Constructing an evaluation framework for eco-museum operations – Management performance, based on the case of Jhushan, Taiwan. Sustainability, 10(6), 1-12. https://doi.org/10.3390/su10061934

Ibáñez, A. J. P., Bernal, J. M. M., de Diego, M. J. C., & Sánchez, F. J. A. (2016). Expert system for predicting buildings service life under ISO 31000 standard. Application in architectural heritage. Journal of Cultural Heritage, 18, 209-218. https://doi.org/10.1016/j.culher.2015.10.006

Ipekoglu, B. (2006). An architectural evaluation method for conservation of traditional dwellings. Building and Environment, 41(3), 386-394. https://doi.org/10.1016/j.buildenv.2005.02.009

Jajac, N., Rogulj, K., & Radnić, J. (2017). Selection of the method for rehabilitation of historic bridges – A decision support concept for the planning of rehabilitation projects. International Journal of Architectural Heritage, 11(2), 261-277. https://doi.org/10.1080/15583058.2016.1207113

Jakimavicius, M., & Burinskiene, M. (2007). Automobile transport system analysis and ranking in Lithuanian administrative regions. Transport, 22(3), 214-220. https://doi.org/10.3846/16484142.2007.9638127

Junior, R. V., Varandas, S. G. P., Fernandes, L. S., & Pacheco, F. A. L. (2014). Environmental land use conflicts: a threat to soil conservation. Land Use Policy, 41, 172-185. https://doi.org/10.1016/j.landusepol.2014.05.012

Kang, D., & Park, Y. (2014). Review-based measurement of customer satisfaction in mobile service: Sentiment analysis and VIKOR approach. Expert Systems with Applications, 41(4), 1041-1050. https://doi.org/10.1016/j.eswa.2013.07.101

Kaya, İ., Çolak, M., & Terzi, F. (2018). Use of MCDM techniques for energy policy and decision‐making problems: A review. International Journal of Energy Research, 42(7), 2344-2372. https://doi.org/10.1002/er.4016

Keyvanfar, A., Shafaghat, A., Mohamad, S., Abdullahi, M. A. M., Ahmad, H., Mohd Derus, N. H., & Khorami, M. (2018). A Sustainable historic waterfront revitalization decision support tool for attracting tourists. Sustainability, 10(2), 215. https://doi.org/10.3390/su10020215

Kim, C. J., Yoo, W. S., Lee, U. K., Song, K. J., Kang, K. I., & Cho, H. (2010). An experience curve-based decision support model for prioritizing restoration needs of cultural heritage. Journal of Cultural Heritage, 11(4), 430-437. https://doi.org/10.1016/j.culher.2010.03.004

Kitchenham, B. A., Mendes, E., & Travassos, G. H. (2007). Cross versus within-company cost estimation studies: A systematic review. IEEE Transactions on Software Engineering, 5, 316-329. https://doi.org/10.1109/TSE.2007.1001

Krishankumar, R., Ravichandran, K., Premaladha, J., Kar, S., Zavadskas, E., & Antucheviciene, J. (2018). A decision framework under a linguistic hesitant fuzzy set for solving multi-criteria group decision making problems. Sustainability, 10(8), 2608. https://doi.org/10.3390/su10082608

Krylovas, A., Kosareva, N., & Zavadskas, E. K. (2018). Scheme for statistical analysis of some parametric normalization classes. International Journal of Computers, Communications & Control (IJCCC), 972-987. https://doi.org/10.15837/ijccc.2018.6.3398

Książek, M. V., Nowak, P. O., Kivrak, S., Rosłon, J. H., & Ustinovichius, L. (2015). Computer-aided decision-making in construction project development. Journal of Civil Engineering and Management, 21(2), 248-259. https://doi.org/10.3846/13923730.2014.996250

Kumar, A., Sah, B., Singh, A. R., Deng, Y., He, X., Kumar, P., & Bansal, R. C. (2017). A review of multi criteria decision making (MCDM) towards sustainable renewable energy development. Renewable and Sustainable Energy Reviews, 69, 596-609. https://doi.org/10.1016/j.rser.2016.11.191

Kutut, V., Zavadskas, E. K., & Lazauskas, M. (2014). Assessment of priority alternatives for preservation of historic buildings using model based on ARAS and AHP methods. Archives of Civil and Mechanical Engineering, 14(2), 287-294. https://doi.org/10.1016/j.acme.2013.10.007

Lee, C. S., Chang, Y. C., & Wang, M. H. (2009). Ontological recommendation multi-agent for Tainan City travel. Expert Systems with Applications, 36(3), 6740-6753. https://doi.org/10.1016/j.eswa.2008.08.016

Lee, H. C., & Chang, C. T. (2018). Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan. Renewable and Sustainable Energy Reviews, 92, 883-896. https://doi.org/10.1016/j.rser.2018.05.007

Lee, Y. C., Shiau, Y. C., & Hsu, W. L. (2016). Applying interpretive structure modeling on the interactive correlations on factor analysis in natural and cultural scenic area at Taiwan. Artificial Life and Robotics, 21(1), 37-42. https://doi.org/10.1007/s10015-015-0245-6

Liu, F., Zhao, Q., & Yang, Y. (2018). An approach to assess the value of industrial heritage based on Dempster-Shafer theory. Journal of Cultural Heritage, 32, 210-220. https://doi.org/10.1016/j.culher.2018.01.011

Lubelli, B., van Hees, R. P. J., & Bolhuis, J. (2018). Effectiveness of methods against rising damp in buildings: Results from the EMERISDA project. Journal of Cultural Heritage, 31(Supplement), S15-S22. https://doi.org/10.1016/j.culher.2018.03.025

Lucchi, E. (2016). Multidisciplinary risk-based analysis for supporting the decision making process on conservation, energy efficiency, and human comfort in museum buildings. Journal of Cultural Heritage, 22, 1079-1089. https://doi.org/10.1016/j.culher.2016.06.001

Ma, H., Li, S., & Chan, C. S. (2018). Analytic Hierarchy Process (AHP)-based assessment of the value of non-World Heritage Tulou: A case study of Pinghe County, Fujian Province. Tourism Management Perspectives, 26, 67-77. https://doi.org/10.1016/j.tmp.2018.01.001

Maghsoodi, A. I., Abouhamzeh, G., Khalilzadeh, M., & Zavadskas, E. K. (2018). Ranking and selecting the best performance appraisal method using the MULTIMOORA approach integrated Shannon’s entropy. Frontiers of Business Research in China, 12(1), 2. https://doi.org/10.1186/s11782-017-0022-6

Malian, A., Mahdinejad, J., & Aslani, S. (2017). Detection and documentation of the red snake by means of remote sensing techniques. Ad Alta – Journal of Interdisciplinary Research, 7(2), 125-138.

Mardani, A., Jusoh, A., & Zavadskas, E. K. (2015). Fuzzy multiple criteria decision-making techniques and applications–Two decades review from 1994 to 2014. Expert Systems with Applications, 42(8), 4126-4148. https://doi.org/10.1016/j.eswa.2015.01.00

Mardani, A., Nilashi, M., Zakuan, N., Loganathan, N., Soheilirad, S., Saman, M. Z. M., & Ibrahim, O. (2017a). A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments. Applied Soft Computing, 57, 265-292. https://doi.org/10.1016/j.asoc.2017.03.045

Mardani, A., Zavadskas, E. K., Khalifah, Z., Zakuan, N., Jusoh, A., Nor, K. M., & Khoshnoudi, M. (2017b). A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015. Renewable and Sustainable Energy Reviews, 71, 216-256. https://doi.org/10.1016/j.rser.2016.12.053

Mardani, A., Zavadskas, E., Govindan, K., Amat Senin, A., & Jusoh, A. (2016). VIKOR technique: A systematic review of the state of the art literature on methodologies and applications. Sustainability, 8(1), 1-37. https://doi.org/10.3390/su8010037

Martínez-Molina, A., Tort-Ausina, I., Cho, S., & Vivancos, J. L. (2016). Energy efficiency and thermal comfort in historic buildings: A review. Renewable and Sustainable Energy Reviews, 61, 70-85. https://doi.org/10.1016/j.rser.2016.03.018

Merschbrock, C., & Munkvold, B. E. (2012). A research review on Building Information Modeling in construction – an area ripe for IS research. Communications of the Association for Information Systems, 31, 10, 207-228. https://doi.org/10.17705/1CAIS.03110

Munarim, U., & Ghisi, E. (2016). Environmental feasibility of heritage buildings rehabilitation. Renewable and Sustainable Energy Reviews, 58, 235-249. https://doi.org/10.1016/j.rser.2015.12.334

Naziris, I. A., Lagaros, N. D., & Papaioannou, K. (2016). Optimized fire protection of cultural heritage structures based on the analytic hierarchy process. Journal of Building Engineering, 8, 292-304. https://doi.org/10.1016/j.jobe.2016.08.007

Nicu, I. C. (2016). Cultural heritage assessment and vulnerability using analytic hierarchy process and geographic information systems (Valea Oii catchment, North-eastern Romania). An approach to historical maps. International Journal of Disaster Risk Reduction, 20, 103-111. https://doi.org/10.1016/j.ijdrr.2016.10.015

Noryani, M. I., Sapuan, S. M., & Mastura, M. T. (2018). Multi-criteria decision-making tools for material selection of natural fibre composites: A review. Journal of Mechanical Engineering and Sciences Malaysia, 12(1), 3330-3353. https://doi.org/10.15282/jmes.12.1.2018.5.0299

Oppio, A., Bottero, M., Ferretti, V., Fratesi, U., Ponzini, D., & Pracchi, V. (2015). Giving space to multicriteria analysis for complex cultural heritage systems: the case of the castles in Valle D’Aosta Region, Italy. Journal of Cultural Heritage, 16(6), 779-789. https://doi.org/10.1016/j.culher.2015.03.003

Ortega, J., Vasconcelos, G., Rodrigues, H., Correia, M., & Lourenço, P. B. (2017). Traditional earthquake resistant techniques for vernacular architecture and local seismic cultures: a literature review. Journal of Cultural Heritage, 27, 181-196. https://doi.org/10.1016/j.culher.2017.02.015

Özcan, T., Çelebi, N., & Esnaf, Ş. (2011). Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem. Expert Systems with Applications, 38(8), 9773-9779. https://doi.org/10.1016/j.eswa.2011.02.022

Özdemir Işık, B., & Demir, S. (2017). Integrated multi-criteria decision-making methods for the sustainability of historical-cultural structures on the Trabzon Coastline. Sustainability, 9(11), 2114. https://doi.org/10.3390/su9112114

Perng, Y. H., Juan, Y. K., & Hsu, H. S. (2007). Genetic algorithm-based decision support for the restoration budget allocation of historical buildings. Building and Environment, 42(2), 770-778. https://doi.org/10.1016/j.buildenv.2005.09.009

Piñero, I., San-José, J. T., Rodríguez, P., & Losáñez, M. M. (2017). Multi-criteria decision-making for grading the rehabilitation of heritage sites. Application in the historic center of La Habana. Journal of Cultural Heritage, 26, 144-152. https://doi.org/10.1016/j.culher.2017.01.012

Pocobelli, D. P., Boehm, J., Bryan, P., Still, J., & Grau-Bové, J. (2018). BIM for heritage science: a review. Heritage Science, 6(1), 30. https://doi.org/10.1186/s40494-018-0191-4

Pozo-Antonio, J. S., Rivas, T., López, A. J., Fiorucci, M. P., & Ramil, A. (2016). Effectiveness of granite cleaning procedures in cultural heritage: a review. Science of The Total Environment, 571, 1017-1028. https://doi.org/10.1016/j.scitotenv.2016.07.090

Prieto, A. J., Macías-Bernal, J. M., Chávez, M. J., & Alejandre, F. J. (2017). Fuzzy modeling of the functional service life of architectural heritage buildings. Journal of Performance of Constructed Facilities, 31(5), 04017041. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001021

Prieto, A. J., Silva, A., de Brito, J., Macías-Bernal, J. M., & Alejandre, F. J. (2017a). The influence of pathological situations on churches’ functionality: An approach based on historical records. International Journal of Architectural Heritage, 11(4), 566-587. https://doi.org/10.1080/15583058.2016.1272011

Prieto, A. J., Silva, A., de Brito, J., Macías-Bernal, J. M., & Alejandre, F. J. (2017b). Multiple linear regression and fuzzy logic models applied to the functional service life prediction of cultural heritage. Journal of Cultural Heritage, 27, 20-35. https://doi.org/10.1016/j.culher.2017.03.004

Radović, D., Stević, Ž., Pamučar, D., Zavadskas, E., Badi, I., Antuchevičiene, J., & Turskis, Z. (2018). Measuring performance in transportation companies in developing countries: a novel rough ARAS model. Symmetry, 10(10), 434. https://doi.org/10.3390/sym10100434

Radziszewska-Zielina, E., & Śladowski, G. (2017). Supporting the selection of a variant of the adaptation of a historical building with the use of fuzzy modelling and structural analysis. Journal of Cultural Heritage, 26, 53-63. https://doi.org/10.1016/j.culher.2017.02.008

Radziszewska-Zielina, E., Śladowski, G., & Sibielak, M. (2017). Planning the reconstruction of a historical building by using a fuzzy stochastic network. Automation in Construction, 84, 242-257. https://doi.org/10.1016/j.autcon.2017.08.003

Riggio, M., D’Ayala, D., Parisi, M. A., & Tardini, C. (2018). Assessment of heritage timber structures: Review of standards, guidelines and procedures. Journal of Cultural Heritage, 31, 220-235. https://doi.org/10.1016/j.culher.2017.11.007

Rijcke, S. D., Wouters, P. F., Rushforth, A. D., Franssen, T. P., & Hammarfelt, B. (2016). Evaluation practices and effects of indicator use – a literature review. Research Evaluation, 25(2), 161-169. https://doi.org/10.1093/reseval/rvv038

Rosłon, J., & Seroka, M. (2016). Multicriteria selection of water insulation technology for foundation walls in an existing building. Archives of Civil Engineering, 62(3), 167-176. https://doi.org/10.1515/ace-2015-0090

Sanmartín, P., Cappitelli, F., & Mitchell, R. (2014). Current methods of graffiti removal: A review. Construction and Building Materials, 71, 363-374. https://doi.org/10.1016/j.conbuildmat.2014.08.093

Sanna, U., Atzeni, C., & Spanu, N. (2008). A fuzzy number ranking in project selection for cultural heritage sites. Journal of Cultural Heritage, 9(3), 311-316. https://doi.org/10.1016/j.culher.2007.12.004

Schryen, G., Wagner, G., & Benlian, A. (2015). Theory of knowledge for literature reviews: an epistemological model, taxonomy and empirical analysis of IS literature. In Proceedings of the Thirty Sixth International Conference on Information Systems, Fort Worth 2015 (ICIS 2015) (pp. 1-22).

Seddiki, M., Anouche, K., Bennadji, A., & Boateng, P. (2016). A multi-criteria group decision-making method for the thermal renovation of masonry buildings: The case of Algeria. Energy and Buildings, 129, 471-483. https://doi.org/10.1016/j.enbuild.2016.08.023

Shariati, S., Abedi, M., Saedi, A., Yazdani-Chamzini, A., Tamošaitienė, J., Šaparauskas, J., & Stupak, S. (2017). Critical factors of the application of nanotechnology in construction industry by using ANP technique under fuzzy intuitionistic environment. Journal of Civil Engineering and Management, 23(7), 914-925. https://doi.org/10.3846/13923730.2017.1343202

Shehada, Z. M., Ahmad, Y., Yaacob, N. M., & Keumala, N. I. (2015). Developing Methodology for Adaptive Re-Use. Case Study of Heritage Buildings in Palestine. International Journal of Architectural Research, 9(2), 216-229. https://doi.org/10.26687/archnet-ijar.v9i2.486

Shen, K. Y., Zavadskas, E. K., & Tzeng, G. H. (2018). Updated discussions on ‘Hybrid multiple criteria decision making methods: a review of applications for sustainability issues’. Economic Research-Ekonomska Istraživanja, 31(1), 1437-1452. https://doi.org/10.1080/1331677X.2018.1483836

Si, J., Marjanovic-Halburd, L., Nasiri, F., & Bell, S. (2016). Assessment of building-integrated green technologies: a review and case study on applications of Multi-Criteria Decision Making (MCDM) method. Sustainable Cities and Society, 27, 106-115. https://doi.org/10.1016/j.scs.2016.06.013

Sierra-Fernandez, A., Gomez-Villalba, L. S., Rabanal, M. E., & Fort, R. (2017). New nanomaterials for applications in conservation and restoration of stony materials: a review. Materiales de Construcción, 67, 107. https://doi.org/10.3989/mc.2017.07616

Sigmund, Z. (2016). Sustainability in architectural heritage: review of policies and practices. Organization, Technology & Management in Construction: An International Journal, 8(1), 1411-1421. https://doi.org/10.1515/otmcj-2016-0007

Siksnelyte, I., Zavadskas, E., Streimikiene, D., & Sharma, D. (2018). An overview of multi-criteria decision-making methods in dealing with sustainable energy development issues. Energies, 11(10), 2754. https://doi.org/10.3390/en11102754

Siozinyte, E., Antucheviciene, J., & Kutut, V. (2014). Upgrading the old vernacular building to contemporary norms: multiple criteria approach. Journal of Civil Engineering and Management, 20(2), 291-298. https://doi.org/10.3846/13923730.2014.904814

Śladowski, G., & Paruch, R. (2017). Expert cause and effect analysis of the failure of historical structures taking into account factors that are difficult to measure. Archives of Civil Engineering, 63(2), 165-186. https://doi.org/10.1515/ace-2017-0023

Sorvari, J., & Seppälä, J. (2010). A decision support tool to prioritize risk management options for contaminated sites. Science of the Total Environment, 408(8), 1786-1799. https://doi.org/10.1016/j.scitotenv.2009.12.026

Stenseke, M. (2009). Local participation in cultural landscape maintenance: Lessons from Sweden. Land Use Policy, 26(2), 214-223. https://doi.org/10.1016/j.landusepol.2008.01.005

Strantzali, E., & Aravossis, K. (2016). Decision making in renewable energy investments: a review. Renewable and Sustainable Energy Reviews, 55, 885-898. https://doi.org/10.1016/j.rser.2015.11.021

Tam, V. W., Fung, I. W., & Sing, M. C. (2016). Adaptive reuse in sustainable development: An empirical study of a Lui Seng Chun building in Hong Kong. Renewable and Sustainable Energy Reviews, 65, 635-642. https://doi.org/10.1016/j.rser.2016.07.014

Thorhallsdottir, T. E. (2007). Strategic planning at the national level: Evaluating and ranking energy projects by environmental impact. Environmental Impact Assessment Review, 27(6), 545-568. https://doi.org/10.1016/j.eiar.2006.12.003

Triantaphyllou, E. (2000). Multi-criteria decision making methods. In Multi-criteria decision making methods: A comparative study. Boston, MA: Springer. https://doi.org/10.1007/978-1-4757-3157-6_2

Tupenaite, L., Zavadskas, E. K., Kaklauskas, A., Turskis, Z., & Seniut, M. (2010). Multiple criteria assessment of alternatives for built and human environment renovation. Journal of Civil Engineering and Management, 16(2), 257-266. https://doi.org/10.3846/jcem.2010.30

Turskis, Z., Morkunaite, Z., & Kutut, V. (2017). A hybrid multiple criteria evaluation method of ranking of cultural heritage structures for renovation projects. International Journal of Strategic Property Management, 21(3), 318-329. https://doi.org/10.3846/1648715X.2017.1325782

Turskis, Z., Zavadskas, E. K., & Kutut, V. (2013). A model based on ARAS-G and AHP methods for multiple criteria prioritizing of heritage value. International Journal of Information Technology & Decision Making, 12(01), 45-73. https://doi.org/10.1142/S021962201350003X

Uva, G., Sangiorgio, V., Ruggieri, S., & Fatiguso, F. (2019). Structural vulnerability assessment of masonry churches supported by user-reported data and modern Internet of Things (IoT). Measurement, 131, 183-192. https://doi.org/10.1016/j.measurement.2018.08.014

Valipour, A., Yahaya, N., Md Noor, N., Antuchevičienė, J., & Tamošaitienė, J. (2017). Hybrid SWARA-COPRAS method for risk assessment in deep foundation excavation project: an Iranian case study. Journal of Civil Engineering and Management, 23(4), 524-532. https://doi.org/10.3846/13923730.2017.1281842

Vodopivec, B., Žarnić, R., Tamošaitienė, J., Lazauskas, M., & Šelih, J. (2014). Renovation priority ranking by multi-criteria assessment of architectural heritage: the case of castles. International Journal of Strategic Property Management, 18(1), 88-100. https://doi.org/10.3846/1648715X.2014.889771

Wang, H. J., & Zeng, Z. T. (2010). A multi-objective decision-making process for reuse selection of historic buildings. Expert Systems with Applications, 37(2), 1241-1249. https://doi.org/10.1016/j.eswa.2009.06.034

Wang, H. J., Chiou, C. W., & Juan, Y. K. (2008). Decision support model based on case-based reasoning approach for estimating the restoration budget of historical buildings. Expert Systems with Applications, 35(4), 1601-1610. https://doi.org/10.1016/j.eswa.2007.08.095

Wang, W. M., Lee, A. H., Peng, L. P., & Wu, Z. L. (2013). An integrated decision making model for district revitalization and regeneration project selection. Decision Support Systems, 54(2), 1092-1103. https://doi.org/10.1016/j.dss.2012.10.035

Webb, A. L. (2017). Energy retrofits in historic and traditional buildings: A review of problems and methods. Renewable and Sustainable Energy Reviews, 77, 748-759. https://doi.org/10.1016/j.rser.2017.01.145

Wu, Z., & Xu, J. (2013). Predicting and optimization of energy consumption using system dynamics-fuzzy multiple objective programming in world heritage areas. Energy, 49, 19-31. https://doi.org/10.1016/j.energy.2012.10.030

Zagorskas, J., Zavadskas, E. K., Turskis, Z., Burinskienė, M., Blumberga, A., & Blumberga, D. (2014). Thermal insulation alternatives of historic brick buildings in Baltic Sea Region. Energy and Buildings, 78, 35-42. https://doi.org/10.1016/j.enbuild.2014.04.010

Zavadskas, E. K., Antucheviciene, J., Turskis, Z., & Adeli, H. (2016). Hybrid multiple-criteria decision-making methods: A review of applications in engineering. Scientia Iranica, 23(1), 1-20. https://doi.org/10.24200/sci.2016.2093

Zavadskas, E. K., Govindan, K., Antucheviciene, J., & Turskis, Z. (2016). Hybrid multiple criteria decision-making methods: A review of applications for sustainability issues. Economic Research-Ekonomska Istraživanja, 29(1), 857-887. https://doi.org/10.1080/1331677X.2016.1237302

Zavadskas, E. K., Kaklauskas, A., Kalibatas, D., Turskis, Z., Krutinis, M., & Bartkienė, L. (2018). Applying the TOPSIS-F method to assess air pollution in Vilnius. Environmental Engineering and Management Journal, 17(9), 2041-2050.

Zavadskas, E., Antucheviciene, J., Vilutiene, T., & Adeli, H. (2017). Sustainable decision-making in civil engineering, construction and building technology. Sustainability, 10(1), 1-14. https://doi.org/10.3390/su10010014

Zhou, X., & Lu, M. (2012). Risk evaluation of dynamic alliance based on fuzzy analytic network process and fuzzy TOPSIS. Journal of Service Science and Management, 5(3), 1-11. https://doi.org/10.4236/jssm.2012.53028