Issue:Sustainable material selection using complex type 2 intuitionistic fuzzy analytic hierarchy process

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Title of paper: Sustainable material selection using complex type 2 intuitionistic fuzzy analytic hierarchy process Author(s): Cengiz Kahraman     0000-0001-6168-8185 Industrial Engineering Department, Istanbul Technical University, 34367 Macka, Istanbul, Türkiye kahramanc@itu.edu.tr Basar Oztaysi     0000-0002-1090-7963 Industrial Engineering Department, Istanbul Technical University, 34367 Macka, Istanbul, Türkiye oztaysib@itu.edu.tr Selcuk Cebi     0000-0001-9318-1135 Industrial Engineering Department, Yildiz Technical University, 34349 Yildiz, Istanbul, Türkiye scebi@yildiz.edu.tr Sezi Cevik Onar     0000-0001-6451-6709 ReTech Center, Ecole des Ponts, ParisTech, France Industrial Engineering Department, Istanbul Technical University, 34367 Macka, Istanbul, Türkiye cevikse@itu.edu.tr Alize Yaprak Gül     0009-0007-5742-0267 Industrial Engineering Department, Istanbul Technical University, 34367 Macka, Istanbul, Türkiye alizeygul@hotmail.com Published in: Notes on Intuitionistic Fuzzy Sets, Volume 31 (2025), Number 4, pages 568–585 DOI: https://doi.org/10.7546/nifs.2025.31.4.568-585 Download:  PDF (1283  Kb, File info) Abstract: 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. Keywords: Sustainable materials, Construction industry, Complex fuzzy sets, Intuitionistic fuzzy sets, Analytic hierarchy process, Type 2 fuzzy sets. AMS Classification: 03B52, 03E72, 90C70. References: 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. Citations: The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.