Determination of Suitable Fabric in Sportswear by Integrated SWARA-MABAC Approach
Keywords:
Textile and Clothing, Activewear, Multi Criteria Decision Making, SWARA, MABACAbstract
The concept of sports is one of the most important areas that contribute to the economic and social development of countries by enabling them to be healthy individuals by affecting the mental, physical and spiritual structures of people positively. In line with the technological developments, as a result of the increase in the living standards of people, the expectations from the clothes and other equipment they use while doing sports have gone beyond just being suitable for the strength, design and fashion elements, and the importance given to the performance and the comfort of the clothing has increased. Sportswear is expected to offer comfortable mobility to the body, not to hold sweat and water, and to have comfort features such as breathability. These functions, which are expected from the fabrics, make a visible contribution to the performances of sports people. In this study performance characteristic of fabrics used in activewear was measured by using SWARA and MABAC methods. The criteria are weighted by SWARA method and suitable fabric for active wear are determined according to the criteria were calculated by MABAC method.
References
. Cheng, K.B. “The fabrication and functional properties of cooling and anti UV polyamide 6 fiber products”. Current Trends in Fashion Technology & Textile Engineering, 1, 2, 1–2 pp, 2017.
. Ansari, Z.N., Kant, R., & Shankar, R. “Evaluation and ranking of solutions to mitigate sustainable remanufacturing supply chain risks: a hybrid fuzzy SWARA-fuzzy COPRAS framework approach”. International Journal of Sustainable Engineering, 1-22, 2020.
. Bobar, Z., Božanić, D., Djurić, K., & Pamučar, D. “Ranking and assessment of the efficiency of social media using the fuzzy AHP-Z number model-fuzzy MABAC”. Acta Polytechnica Hungarica, 17(3), 2020.
. Bozanic, D., Tešić, D., & Kočić, J. “Multi-criteria FUCOM–Fuzzy MABAC model for the selection of location for construction of single-span bailey bridge”. Decision making: applications in management and engineering, 2(1), 132-146, 2019.
. Ighravwe, D.E., & Oke, S.A. “An integrated approach of SWARA and fuzzy COPRAS for maintenance technicians’ selection factors ranking”. International Journal of System Assurance Engineering and Management, 10(6), 1615-1626, 2019.
. Karabasevic, D., Zavadskas, E. K., Stanujkic, D., Popovic, G. ve Brzakovic, M. “An approach to personnel selection in the IT industry based on the EDAS Method”. Transformations in Business & Economics, 17(2), 54-65, 2018.
. Luo, S.Z., & Xing, L.N. “A hybrid decision making framework for personnel selection using BWM, MABAC and PROMETHEE”. International Journal of Fuzzy Systems, 21(8), 2421-2434, 2019.
. Vasiljević, M., Stević, Ž., Pamučar, D., & Stojić, G. Evaluation Of Suppliers Crıterıa in Textile Company Using Rough Swara Approach. In Book Of Proceedings (p. 483), 2018.
. Wei, G., Wei, C., Wu, J., & Wang, H. “Supplier selection of medical consumption products with a probabilistic linguistic MABAC method”. International Journal of Environmental Research and Public Health, 16(24), 5082, 2019.
. Zolfani, S. H., & Saparauskas, J. “New application of SWARA method in prioritizing sustainability assessment indicators of energy system”. Engineering Economics, 24(5), 408-414, 2013.
. Özdil, N., & Anand, S. “Recent developments in textile materials and products used for activewear and sportswear”. Electronic Journal of Vehicle Technologies/Tasit Teknolojileri Elektronik Dergisi, 8(3), 2014.
. Abd El-Hady, R.A.M., & Abd El-Baky, R.A.A. “Performance characteristics of warp knitted lining fabrics used for sportswear”. Life Sci. J, 12(3), 98-104, 2015.
. Uttam, D. “Active sportswear fabrics”. International Journal of IT, Engineering and Applied Sciences Research, 2(1), 34-40, 2013.
. Ozbek, Asir. Çok Kriterli Karar Verme Yöntemleri ve Excel ile Problem Çözümü, Seçkin Yayıncılık, Ankara, 2017.
. Bakir, M. “Analysis of satisfaction level based on eWOM in airlines through SWARA and MABAC methods”, İzmir Journal of Economics, 34(1), 51-66, 2019.
. Gigović, L., Pamučar, D., Božanić, D., & Ljubojević, S. “Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia”. Renewable energy, 103, 501-521, 2017.
Downloads
Published
How to Cite
Issue
Section
License
Authors who submit papers with this journal agree to the following terms.