MCDM model for critical selection of building and insulation materials for optimising energy usage and environmental effect in production focus
Abstract
In the context of sustainable buildings, an ecological study of building and insulating materials is critical since it may assist affirm or shift the path of new technology development. Utilising sustainable material is a part of the sustainable improvement. For this reason, material fabrication is the primary process for the energy usage and release of intense environmental gaseous. The fabrication of the insulation and building materials, as in every fabrication process, comprises an energy consumption of crude materials in addition to the pollutants’ release. In buildings, insulation is a relevant technological resolution for cutting energy usage. This study aims to assess the primary energy consumption and the environmental effects of the fabrication of building and thermal isolation materials by using a new hybrid MCDM model. The proposed new hybrid MCDM model includes Fuzzy FUCOM, CCSD and CRADIS methods. While the subjective weights of the criteria were determined with the fuzzy FUCOM method, the objective weights of the criteria were determined with the CCSD method. Construction materials were listed with the CRADIS method. According to the fuzzy FUCOM method, the most important criterion was determined as the CR3 criterion, while the most important criterion according to the CCSD method was determined as the CR1 criterion. According to the combined weights, the most important criterion was determined as the CR3 criterion. According to the CRADIS method, the material with the best performance was determined as Cement Plaster. The methodology used in this study is a novel approach therefore it has not been used in any study before. In addition, since the CRADIS method is a newly developed MCDM method, the number of articles related to this method is low. Therefore, this research gap will be filled with this study.
Keyword : building and insulation materials, environmental effect, energy usage, material production, Fuzzy FUCOM, CCSD, CRADIS, sustainability
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Aly, M. F., Attia, H. A., & Mohammed, A. M. (2013). Integrated fuzzy (GMM)-TOPSIS model for best design concept and material selection process. International Journal of Innovative Research in Science, Engineering and Technology, 2(11), 6464–6486.
Anastaselos, D., Giama, E., & Papadopoulos, A. M. (2009). An assessment tool for the energy, economic and environmental evaluation of thermal insulation solutions. Energy and Buildings, 41(11), 1165–1171. https://doi.org/10.1016/j.enbuild.2009.06.003
Anjaneyulu, Y. (2002). Air pollution & control technologies. Allied Publishers, Ltd.
Anojkumar, L., Ilangkumaran, M., & Sasirekha, V. (2014). Comparative analysis of MCDM methods for pipe material selection in sugar industry. Expert Systems with Applications, 41(6), 2964–2980. https://doi.org/10.1016/j.eswa.2013.10.028
Anojkumar, L., Ilangkumaran, M., & Vignesh, M. (2015). A decision making methodology for material selection in sugar industry using hybrid MCDM techniques. International Journal of Materials and Product Technology, 51(2), 102–126. https://doi.org/10.1504/IJMPT.2015.071770
Ardente, F., Beccali, M., Cellura, M., & Mistretta, M. (2008). Building energy performance: A LCA case study of kenaf-fibres insulation board. Energy and Buildings, 40(1), 1–10. https://doi.org/10.1016/j.enbuild.2006.12.009
Asdrubali, F., Baldassarri, C., & Fthenakis, V. (2013). Life cycle analysis in the construction sector: Guiding the optimisation of conventional Italian buildings. Energy and Buildings, 64, 73–89. https://doi.org/10.1016/j.enbuild.2013.04.018
Badi, I., Jibril, M. L., & Bakır, M. (2022). A composite approach for site optimisation of fire stations. Journal of Intelligent Management Decisions, 1(1), 28–35. https://doi.org/10.56578/jimd010104
Baetens, R., Jelle, B. P., & Gustavsen, A. (2011). Aerogel insulation for building applications: A state-of-the-art review. Energy and Buildings, 43(4), 761–769. https://doi.org/10.1016/j.enbuild.2010.12.012
Balo, F. (2011). Castor oil-based building materials reinforced with fly ash, clay, expanded perlite and pumice powder. Ceramics Silikaty, 55(3), 280–293.
Balo, F. (2015). Characterisation of green building materials manufactured from canola oil and natural zeolite. Journal of Material Cycles and Waste Management (JMCWM), 17, 336–349. https://doi.org/10.1007/s10163-014-0247-9
Balo, F. (2017). Ekolojik Yalıtım Malzemesi Üretiminin Analitik Hiyerarşi Prosesi ile Değerlendirilmesi [Evaluation of ecological insulation material production by Analytical Hierarchy Process]. Journal of Polytecnic (Politeknik Dergisi), 20(3), 733–742.
Batouli, S. M., Zhu, Y., Nar, M., & D’Souza, N. A. (2014). Environmental performance of kenaf-fiber reinforced polyurethane: A life cycle assessment approach. Journal of Cleaner Production, 66, 164–173. https://doi.org/10.1016/j.jclepro.2013.11.064
Berardi, U. (2012). Sustainability assessment in the construction sector: Rating systems and rated buildings. Sustainable Development, 20, 411–420. https://doi.org/10.1002/sd.532
Biswas, S., Bandyopadhyay, G., Pamucar, D., & Joshi, N. (2022). A multi-criteria based stock selection framework in emerging market. Operational Research in Engineering Sciences: Theory and Applications, 5(3), 153–193. https://doi.org/10.31181/oresta161122121b
Bolden, J., Abu-Lebdeh, T., & Fini, E. (2013). Utilisation of recycled and waste materials in various construction applications. American Journal of Environmental Science, 9(1), 14–24. https://doi.org/10.3844/ajessp.2013.14.24
Bribián, I. Z., Usón, A. A., & Scarpellini, S. (2009). Life cycle assessment in buildings: state-of-the-art and simplified LCA methodology as a complement for building certification. Building and Environment, 44(12), 2510–2520. https://doi.org/10.1016/j.buildenv.2009.05.001
Bribián, I. Z., Capilla, A. V., & Usón, A. A. (2011). Life cycle assessment of building materials: comparative analysis of energy and environmental impacts and evaluation of the eco-efficiency improvement potential. Building and Environment, 46(5), 1133–1140. https://doi.org/10.1016/j.buildenv.2010.12.002
Cabeza, L. F., Castell, A., Medrano, M., Martorell, I., Pérez, G., & Fernández, I. (2010). Experimental study on the performance of insulation materials in Mediterranean construction. Energy and Buildings, 42(5), 630–636. https://doi.org/10.1016/j.enbuild.2009.10.033
Cabeza, L. F., Barreneche, C., Miró, L., Morera, J. M., Bartolí, E., & Fernández, A. I. (2013). Low carbon and low embodied energy materials in buildings: a review. Renewable and Sustainable Energy Reviews, 23, 536–542. https://doi.org/10.1016/j.rser.2013.03.017
Cerón-Palma, I., Sanyé-Mengual, E., Oliver-Solà, J., Montero, J.-I., Ponce-Caballero, C., & Rieradevall, J. (2013). Towards a green sustainable strategy for social neighbourhoods in Latin America: Case from social housing in Merida, Yucatan, Mexico. Habitat International, 38, 47–56. https://doi.org/10.1016/j.habitatint.2012.09.008
Chatwal, G. R., & Sharma, H. (2004). A text book of environmental studies (1st ed.). Himalaya Publishing House.
Dahooie, J. H., Zavadskas, E. K., Firoozfar, H. R., Vanaki, A. S., Mohammadi, N., & Brauers, W. K. M. (2019a). An improved fuzzy MULTIMOORA approach for multi-criteria decision making based on objective weighting method (CCSD) and its application to technological forecasting method selection. Engineering Applications of Artificial Intelligence, 79, 114–128. https://doi.org/10.1016/j.engappai.2018.12.008
Dahooie, J. H., Zavadskas, E. K., Vanaki, A. S., Firoozfar, H. R., Lari, M., & Turskis, Z. (2019b). A new evaluation model for corporate financial performance using integrated CCSD and FCM-ARAS approach. Economic Research-Ekonomska Istraživanja, 32(1), 1088–1113. https://doi.org/10.1080/1331677X.2019.1613250
Desai, S. S., Bidanda B., & Lovell M. R. (2012). Material and process selection in product design using decision-making technique (AHP). European Journal of Industrial Engineering, 6(3), 322–346. https://doi.org/10.1504/EJIE.2012.046666
Diabat, A., Kannan, D., & Mathiyazhagan, K., (2014). Analysis of enablers for implementation of sustainable supply chain management – A textile case. Journal of Cleaner Production, 83, 391–403. https://doi.org/10.1016/j.jclepro.2014.06.081
Dixit, M. K., Fernández-Solís, J. L., Lavy, S., & Culp, C. H. (2012). Need for an embodied energy measurement protocol for buildings: A review paper. Renewable and Sustainable Energy Reviews, 16(6), 3730–3743. https://doi.org/10.1016/j.rser.2012.03.021
Elmansouri, O., Alossta, A., & Badi, I. (2022). Pavement condition assessment using pavement condition index and multi-criteria decision-making model. Mechatronics and Intelligent Transportation Systems, 1(1), 57–68. https://doi.org/10.56578/mits010107
Erdogan, S. A., Šaparauskas, J., & Turskis, Z. (2019). A multi-criteria decision-making model to choose the best option for sustainable construction management. Sustainability, 11(8), 2239. https://doi.org/10.3390/su11082239
Gardezi, S., Shafiq, N., Abdullah, N., Khamidi, M., & Farhan, S. (2015). Minimization of embodied carbon footprint from housing sector of Malaysia. Chemical Engineering Transactions, 45, 1927–1932. https://doi.org/10.3303/CET1545322
Giama, E., & Papadopoulos, A. M. (2015). Construction materials and green buildings’ certification. Key Engineering Materials, 666, 89–96. https://doi.org/10.4028/www.scientific.net/KEM.666.89
Girubha, R. J., & Vinodh, S. (2012). Application of fuzzy VIKOR and environmental impact analysis for material selection of an automotive component. Materials & Design, 37, 478–486. https://doi.org/10.1016/j.matdes.2012.01.022
Golcuk, I., Durmaz, E. D., & Şahin, R. (2022). Prioritizing occupational safety risks with fuzzy FUCOM and fuzzy graph theory-matrix approach. Journal of the Faculty of Engineering and Architecture of Gazi University, 38(1), 57–69. https://doi.org/10.17341/gazimmfd.970514
Gonzalez-García, S., Lozano, R. G., Estévez, J. C., Pascual, R. C., Moreira, T. M., Gabarrell, X., Pons, J. R., & Feijoo, G. (2012). Environmental assessment and improvement alternatives of a ventilated wooden wall from LCA and DfE perspective. The International Journal of Life Cycle Assessment, 17(4), 432–443. https://doi.org/10.1007/s11367-012-0384-0
Guo, S., & Zhao, H. (2017). Fuzzy best-worst multi-criteria decision-making method and its applications. Knowledge-Based Systems, 121, 23–31. https://doi.org/10.1016/j.knosys.2017.01.010
Hsu, C.-H., Wang, F.-K., & Tzeng, G.-H. (2012). The best vendor selection for conducting the recycled material based on a hybrid MCDM model combining DANP with VIKOR. Resources, Conservation and Recycling, 66, 95–111. https://doi.org/10.1016/j.resconrec.2012.02.009
Huang, H. H., Liu, Z. F., & Zhang, L. (2009). Sutherland JW. Materials selection for environmentally conscious design via a proposed life cycle environmental performance index. The International Journal of Advanced Manufacturing Technology, 44(11–12), 1073–1082. https://doi.org/10.1007/s00170-009-1935-9
Huang, W., Li, F., & Cui, S. (2017). Carbon footprint and carbon emission reduction of urban buildings: A case in Xiamen City, China. Procedia Engineering, 198, 1007–1017. https://doi.org/10.1016/j.proeng.2017.07.146
Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making: Methods and applications. Springer-Verlag. https://doi.org/10.1007/978-3-642-48318-9
İç, Y. T. (2012). An experimental design approach using TOPSIS method for the selection of computer-integrated manufacturing technologies. Robotics and Computer-Integrated Manufacturing, 28(2), 245–256. https://doi.org/10.1016/j.rcim.2011.09.005
Islam, H., Jollands, M., Setunge, S., Ahmed, I., & Haque, N. (2014). Life cycle assessment and life cycle cost implications of wall assemblages designs. Energy and Buildings, 84, 33–45. https://doi.org/10.1016/j.enbuild.2014.07.041
Khan, F., Ali, Y., & Pamucar, D. (2022). A new fuzzy FUCOM-QFD approach for evaluating strategies to enhance the resilience of the healthcare sector to combat the COVID-19 pandemic. Kybernetes, 51(4), 1429–1451. https://doi.org/10.1108/K-02-2021-0130
Kim, J., Hwang, Y., & Park, K. (2009). An assessment of the recycling potential of materials based on environmental and economic factors; case study in South Korea. Journal of Cleaner Production, 17, 1264–1271. https://doi.org/10.1016/j.jclepro.2009.03.023
Krishankumar, R., & Ecer, F. (2023). Selection of IoT service provider for sustainable transport using q-rung orthopair fuzzy CRADIS and unknown weights. Applied Soft Computing, 132, 109870. https://doi.org/10.1016/j.asoc.2022.109870
Kumar, R., & Singal, S. K. (2015). Penstock material selection in small hydropower plants using MADM methods. Renewable and Sustainable Energy Reviews, 52, 240–255. https://doi.org/10.1016/j.rser.2015.07.018
Kymäläinen, H. R., & Sjöberg, A. M. (2008). Flax and hemp fibres as raw materials for thermal insulations. Building and Environment, 43(7), 1261–1269. https://doi.org/10.1016/j.buildenv.2007.03.006
Liu, H. C., Liu, L., & Wu, J. (2013). Material selection using an interval 2-tuple linguistic VIKOR method considering subjective and objective weights. Materials & Design, 52, 158–167. https://doi.org/10.1016/j.matdes.2013.05.054
Liu, H. C., You, J. X., Zhen, L., & Fan, X. J. (2014). A novel hybrid multiple criteria decision making model for material selection with target-based criteria. Materials & Design, 60, 380–390. https://doi.org/10.1016/j.matdes.2014.03.071
Maity, S. R., & Chakraborty, S. (2013). Grinding wheel abrasive material selection using fuzzy TOPSIS method. Materials and Manufacturing Processes, 28(4), 408–417. https://doi.org/10.1080/10426914.2012.700159
Marceau, M., & VanGeem, M. G. (2006). Comparison of the life cycle assessments of an insulating concrete form house and a wood frame house. Journal of ASTM International, 3(9), 13637. https://doi.org/10.1520/JAI13637
Mathiyazhagan, K., Gnanavelbabu, A., & Prabhuraj, B. L. (2019). A sustainable assessment model for material selection in construction industries perspective using hybrid MCDM approaches. Journal of Advances in Management Research, 16(2), 234–259. https://doi.org/10.1108/JAMR-09-2018-0085
Mayyas, A., Omar, M. A., & Hayajneh M. T. (2016). Eco-material selection using fuzzy TOPSIS method. International Journal of Sustainable Engineering, 9(5), 292–304. https://doi.org/10.1080/19397038.2016.1153168
Mitrović Simić, J., Stević, Ž., Zavadskas, E. K., Bogdanović, V., Subotić, M., & Mardani, A. (2020). A novel CRITIC-Fuzzy FUCOM-DEA-Fuzzy MARCOS model for safety evaluation of road sections based on geometric parameters of road. Symmetry, 12(12), 2006. https://doi.org/10.3390/sym12122006
Moncaster, M., & Symons, K. E. (2013). A method and tool for “cradle to grave” embodied carbon and energy impacts of UK buildings in compliance with the new TC350 standards. Energy and Buildings, 66, 514–523. https://doi.org/10.1016/j.enbuild.2013.07.046
Monteiro, H., & Freire, F. (2012). Lifecycle assessment of a house with alternative exterior walls: comparison of three impact assessment methods. Energy and Buildings, 47, 572–583. https://doi.org/10.1016/j.enbuild.2011.12.032
Motuzienė, V., Rogoža, A., Lapinskienė, V., & Vilutienė, T. (2016). Construction solutions for energy efficient single-family house based on its life cycle multi-criteria analysis: A case study. Journal of Cleaner Production, 112, 532–541. https://doi.org/10.1016/j.jclepro.2015.08.103
Onut, S., Kara, S. S., & Mert, S. (2009). Selecting the suitable material handling equipment in the presence of vagueness. The International Journal of Advanced Manufacturing Technology, 44(7–8), 818–828. https://doi.org/10.1007/s00170-008-1897-3
Pamucar, D., & Ecer, F. (2020). Prioritising the weights of the evaluation criteria under fuzziness: The fuzzy full consistency method–FUCOM-F. Facta Universitatis. Series: Mechanical Engineering, 18(3), 419–437. https://doi.org/10.22190/FUME200602034P
Pamucar, D., Ecer, F., & Deveci, M. (2021). Assessment of alternative fuel vehicles for sustainable road transportation of United States using integrated fuzzy FUCOM and neutrosophic fuzzy MARCOS methodology. Science of The Total Environment, 788, 147763. https://doi.org/10.1016/j.scitotenv.2021.147763
Papadopoulos, A. M. (2005). State of the art in thermal insulation materials and aims for future developments. Energy and Buildings, 37(1), 77–86. https://doi.org/10.1016/j.enbuild.2004.05.006
Pargana, N., Pinheiro, M. D., Silvestre, J. D., & de Brito, J. (2014). Comparative environmental life cycle assessment of thermal insulation materials of buildings. Energy and Buildings, 82, 466–481. https://doi.org/10.1016/j.enbuild.2014.05.057
Pérez, G., Vila, A., Rincón, L., Solé, C., & Cabeza, L. F. (2012). Use of rubber crumbs as drainage layer in green roofs as potential energy improvement material. Applied Energy, 97, 347–354. https://doi.org/10.1016/j.apenergy.2011.11.051
Prasenjit, C., Vijay, M. A., & Shankar, C. (2009). Selection of materials using compromise ranking and outranking methods. Materials & Design, 30(10), 4043–4053. https://doi.org/10.1016/j.matdes.2009.05.016
Puška, A., & Stojanović, I. (2022). Fuzzy multi-criteria analyses on green supplier selection in an agri-food company. Journal of Intelligent Management Decision, 1(1), 2–16. https://doi.org/10.56578/jimd010102
Puška, A., Nedeljković, M., Prodanović, R., Vladisavljević, R., & Suzić, R. (2022a). Market assessment of pear varieties in Serbia using fuzzy CRADIS and CRITIC methods. Agriculture, 12(2), 139. https://doi.org/10.3390/agriculture12020139
Puška, A., Božanić, D., Nedeljković, M., & Janošević, M. (2022b). Green supplier selection in an uncertain environment in agriculture using a hybrid MCDM model: Z-Numbers–Fuzzy LMAW–Fuzzy CRADIS model. Axioms, 11(9), 427. https://doi.org/10.3390/axioms11090427
Puška, A., Stević, Ž., & Pamučar, D. (2022c). Evaluation and selection of healthcare waste incinerators using extended sustainability criteria and multi-criteria analysis methods. Environment, Development and Sustainability, 24(9), 11195–11225. https://doi.org/10.1007/s10668-021-01902-2
Puška, A., Nedeljković, M., Stojanović, I., & Božanić, D. (2023). Application of fuzzy TRUST CRADIS method for selection of sustainable suppliers in agribusiness. Sustainability, 15(3), 2578. https://doi.org/10.3390/su15032578
Rahman, S., Odeyinka, H., Perera, S., & Bi, Y. (2012). Product-cost modelling approach for the development of a decision support system for optimal roofing material selection. Expert Systems with Applications, 39(8), 6857–6871. https://doi.org/10.1016/j.eswa.2012.01.010
Rajagopalan, R. (2005). Environmental studies, from crisis to cure. Oxford University Press.
Ramesh, T., Prakash, R., & Shukla, K. K. (2012). Life cycle energy analysis of a residential building with different envelopes and climates in Indian context. Applied Energy, 89(1), 193–202. https://doi.org/10.1016/j.apenergy.2011.05.054
Rao, R. V., & Davim, J. P. (2008). A decision-making framework model for material selection using a combined multiple attribute decision-making method. International Journal of Advanced Manufacturing Technology, 35(7–8), 751–760. https://doi.org/10.1007/s00170-006-0752-7
Rashid, K., Razzaq, A., Ahmad, M., Rashid, T., & Tariq, S. (2017). Experimental and analytical selection of sustainable recycled concrete with ceramic waste aggregate. Construction and Building Materials, 154, 829–840. https://doi.org/10.1016/j.conbuildmat.2017.07.219
Rathod, M. K., & Kanzaria, H. V. (2011). A methodological concept for phase change material selection based on multiple criteria decision analysis with and without fuzzy environment. Materials & Design, 32(6), 3578–3585. https://doi.org/10.1016/j.matdes.2011.02.040
Reddy, B. V. V. (2004). Sustainable building technologies. Current Science, 87(7), 899–907.
Reza, B., Sadiq, R., & Hewage, K. (2011). Sustainability assessment of flooring systems in the city of Tehran: An AHP-based life cycle analysis. Construction and Building Materials, 25, 2053–2066. https://doi.org/10.1016/j.conbuildmat.2010.11.041
Richman, R., Pasqualini, P., & Kirsh, A. (2009). Lifecycle analysis of roofing insulation levels for cold storage buildings. Journal of Architectural Engineering, 15(2), 55–61. https://doi.org/10.1061/(ASCE)1076-0431(2009)15:2(55)
Schmidt, A. C., Jensen, A. A., Clausen, A. U., Kamstrup, O., & Postlethwaite, D. (2004). LCA case studies a comparative life cycle assessment of building insulation products made of stone wool, paper wool and flax. The International Journal of Life Cycle Assessment, 9, 53–66. https://doi.org/10.1007/BF02978536
Scientific and Industrial Research Organization. (2019). R&D analysis of scientific and industrial research organızations (A study report).
Seo, M., Kim, T., Hong, G., & Kim, H. (2016). On-site measurements of CO2 emissions during the construction phase of a building complex. Energies, 9(8), 599. https://doi.org/10.3390/en9080599
Shanian, A., Milani, A. S., Vermaak, N., Bertoldi, K., Scarinci, T., & Gerendas, M. (2012). A combined finite element-multiple criteria optimisation approach for materials selection of gas turbine components. Journal of Applied Mechanics, 79(6), 061019. https://doi.org/10.1115/1.4006461
Stević, Ž., Pamučar, D., Puška, A., & Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS). Computers & Industrial Engineering, 140, 106231. https://doi.org/10.1016/j.cie.2019.106231
Sun, Q., Huang, Q., Duan, Z., & Zhang, A. (2022). Recycling potential comparison of mass timber constructions and concrete buildings: A case study in China. Sustainability, 14, 6174. https://doi.org/10.3390/su14106174
Swamy, N. M. (2006). Text book on environmental law (3rd ed.). SP, GOGIA.
Tripathi, D., Nigam, S. K., Mishra, A. R., Shah, A. R. (2022). A novel intuitionistic fuzzy distance measure-SWARA-COPRAS method for multi-criteria food waste treatment technology selection. Operational Research in Engineering Sciences: Theory and Applications, 6(1), 65–94. https://doi.org/10.31181/oresta/060104
Tuzkaya, G., Guèlsuèn, B., Kahraman, C., & Ozgen, D. (2010). An integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem and an application. Expert Systems with Applications, 37(4), 2853–2863. https://doi.org/10.1016/j.eswa.2009.09.004
Ulutaş, A., Karabasevic, D., Popovic, G., Stanujkic, D., Nguyen, P. T., & Karaköy, Ç. (2020). Development of a novel integrated CCSD-ITARA-MARCOS decision-making approach for stackers selection in a logistics system. Mathematics, 8(10), 1672. https://doi.org/10.3390/math8101672
Wallhagen, M., & Glaumann, M. (2011). Design consequences of differences in building assessment tools: A case study. Building Research & Information, 39(1), 16–33. https://doi.org/10.1080/09613218.2010.513210
Wang, Y. M., & Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling, 51(1–2), 1–12. https://doi.org/10.1016/j.mcm.2009.07.016
Wang, H. P., Chiang, C., Cai, Y., Li, C., Wang, X., Chen, T. L., Wei, S., & Huang, Q. (2018). Application of wall and insulation materials on green building: A review. Sustainability, 10(9), 3331. https://doi.org/10.3390/su10093331
Wang, W., Wang, Y., Fan, S., Han, X., Wu, Q., & Pamucar, D. (2023). A complex spherical fuzzy CRADIS method based Fine-Kinney framework for occupational risk evaluation in natural gas pipeline construction. Journal of Petroleum Science and Engineering, 220, 111246. https://doi.org/10.1016/j.petrol.2022.111246
Zavadskas, E. K., & Podvezko, V. (2016). Integrated determination of objective criteria weights in MCDM. International Journal of Information Technology & Decision Making, 15(2), 267–283. https://doi.org/10.1142/S0219622016500036
Zavadskas, E. K., Kaklauskas, A., Peldschus, F., & Turskis, Z. (2007). Multi-attribute assessment of road design solutions by using the COPRAS method. The Baltic Journal of Road and Bridge Engineering, 2(4), 195–203.
Zavadskas, E. K., Turskis, Z., & Vilutiene, T. (2010). Multiple criteria analysis of foundation instalment alternatives by applying Additive Ratio Assessment (ARAS) method. Archives of Civil and Mechanical Engineering, 10(3), 123–141. https://doi.org/10.1016/S1644-9665(12)60141-1
Zavadskas, E. K., Ulutaş, A., Balo, F., Stanujkic, D., & Karabasevic, D. (2022). Performance analysis for the most convenient wind turbine selection in wind energy facility. Economic Computation & Economic Cybernetics Studies & Research, 56(2), 21–36. https://doi.org/10.24818/18423264/56.2.22.02
Zhao, R., Su, H., Chen, X., & Yu, Y. (2016). Commercially available materials selection in sustainable design: An integrated multi-attribute decision making approach. Sustainability, 8(1), 79. https://doi.org/10.3390/su8010079
Zhou, C. C., Yin, G. F., & Hu, X. B. (2009). Multi-objective optimisation of material selection for sustainable products: artificial neural networks and genetic algorithm approach. Materials & Design, 30(4), 1209–1215. https://doi.org/10.1016/j.matdes.2008.06.006