| Title of paper:
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Sustainable material selection using complex type 2 intuitionistic fuzzy analytic hierarchy process
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| Author(s):
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Cengiz Kahraman  0000-0001-6168-8185
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| Industrial Engineering Department, Istanbul Technical University, 34367 Macka, Istanbul, Türkiye
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| kahramanc@itu.edu.tr
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| Basar Oztaysi 0000-0002-1090-7963
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| Industrial Engineering Department, Istanbul Technical University, 34367 Macka, Istanbul, Türkiye
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| oztaysib@itu.edu.tr
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| Selcuk Cebi 0000-0001-9318-1135
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| Industrial Engineering Department, Yildiz Technical University, 34349 Yildiz, Istanbul, Türkiye
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| scebi@yildiz.edu.tr
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| Sezi Cevik Onar 0000-0001-6451-6709
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ReTech Center, Ecole des Ponts, ParisTech, France
Industrial Engineering Department, Istanbul Technical University, 34367 Macka, Istanbul, Türkiye
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| cevikse@itu.edu.tr
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| Alize Yaprak Gül 0009-0007-5742-0267
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| Industrial Engineering Department, Istanbul Technical University, 34367 Macka, Istanbul, Türkiye
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| alizeygul@hotmail.com
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| Published in:
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Notes on Intuitionistic Fuzzy Sets, Volume 31 (2025), Number 4, pages 568–585
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| DOI:
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https://doi.org/10.7546/nifs.2025.31.4.568-585
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| Download:
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 PDF (1331 Kb, File info)
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| Abstract:
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Sustainable material selection has become a crucial challenge in the construction industry due to increasing environmental concerns, resource limitations, and the demand for long-term ecological balance. Traditional evaluation approaches often struggle to adequately address the complexity and uncertainty inherent in expert judgments. To overcome these limitations, this study proposes a novel decision-making framework based on the Complex Intuitionistic Type-2 Fuzzy Analytic Hierarchy Process (CIT2F-AHP). The method integrates the strengths of fuzzy set theory and analytic hierarchy process to capture both magnitude and phase information, enabling a more robust representation of expert opinions under uncertainty. A comprehensive set of evaluation criteria covering environmental, technical, economic, social, and regulatory aspects is adopted for assessing sustainable alternatives. The proposed approach is applied to compare low-carbon cement and concrete options, including carbon-cured concrete, geopolymer concrete, alkali-activated binders, and limestone calcined clay cement. The findings highlight the effectiveness of CIT2F-AHP in ranking sustainable materials and demonstrate its potential as a reliable decision-support tool for practitioners and policymakers in advancing green construction practices.
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| Keywords:
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Sustainable materials, Construction industry, Complex fuzzy sets, Intuitionistic fuzzy sets, Analytic hierarchy process, Type 2 fuzzy sets.
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| AMS Classification:
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03B52, 03E72, 90C70.
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| References:
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- Akram, M., Garg, H., & Zahid, K. (2020). Extensions of ELECTRE-I and TOPSIS methods for group decision-making under complex Pythagorean fuzzy environment. Iranian Journal of Fuzzy Systems, 17(5), 147–164.
- Akram, M., Khan, A., & Borumand Saeid, A. (2021). Complex Pythagorean Dombi fuzzy operators using aggregation operators and their decision‐making. Expert Systems, 38(2), Article ID e12626.
- Atanassov, K. T. (1983). Intuitionistic Fuzzy Sets. VII ITKR Session, Sofia, 20-23 June 1983 (Deposed in Centr. Sci.-Techn. Library of the Bulg. Acad. of Sci., 1697/84).
- Cuong, B. C., & Kreinovich, V. (2013). Picture fuzzy sets – A new concept for computational intelligence problems. Proceedings of 2013 Third World Congress on Information and Communication Technologies (WICT 2013), Hanoi, Vietnam, pp. 1–6, doi: 10.1109/WICT.2013.7113099.
- Hussain, A., Ullah, K., Ahmad, J., Karamti, H., Pamucar, D., & Wang, H. (2022). Applications of the multiattribute decision-making for the development of the tourism industry using complex intuitionistic fuzzy Hamy mean operators. Computational Intelligence and Neuroscience, 2022, Article ID 8562390.
- Janani, K., Veerakumari, K. P., Vasanth, K., & Rakkiyappan, R. (2022). Complex Pythagorean fuzzy Einstein aggregation operators in selecting the best breed of Horsegram. Expert Systems with Applications, 187, Article ID 115990.
- Jin, H., Hussain, A., Ullah, K., & Javed, A. (2023). Novel complex Pythagorean fuzzy sets under Aczel–Alsina operators and their application in multi-attribute decision making. Symmetry, 15(1), Article ID 68.
- Ramot, D., Milo, R., Friedman, M., & Kandel, A. (2002). Complex fuzzy sets. IEEE Transactions on Fuzzy Systems, 10(2), 171–186.
- Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York.
- Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.
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