Intelligent Fuzzy Multi-Criteria Decision-Making for Energy-Saving Building Designs in Construction

Pemika Hirankittiwong, Nguyen Van Thanh (), Apichart Pattanaporkratana, Nattaporn Chattham, Chawalit Jeenanunta and Vannak Seng
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Pemika Hirankittiwong: Department of General Science, Faculty of Science and Engineering, Kasetsart University, Chalermphrakiat Sakon Nakhon Province Campus, Sakon Nakhon 47000, Thailand
Nguyen Van Thanh: Department of Logistics and Supply Chain Management, School of Technology, Van Lang University, Ho Chi Minh City, Vietnam
Apichart Pattanaporkratana: Department of Physics, Faculty of Science, Kasetsart University, Bangkok 10900, Thailand
Nattaporn Chattham: Department of Physics, Faculty of Science, Kasetsart University, Bangkok 10900, Thailand
Chawalit Jeenanunta: School of Management Technology, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani 12120, Thailand
Vannak Seng: Department of Automation and Supply Chain Systems Engineering, Faculty of Engineering, Royal University of Phnom Penh, Phnom Penh 120404, Cambodia

Energies, 2025, vol. 18, issue 11, 1-18

Abstract: The transition toward sustainable construction practices has intensified the demand for intelligent and energy-efficient building components, particularly smart window technologies. While numerous innovations exist, the selection of the most optimal smart window solution is difficult due to the trade-offs among conflicting criteria such as energy performance, economic feasibility, environmental impact, and user comfort. This study proposes an integrated Fuzzy Multi-Criteria Decision-Making (FMCDM) framework for selecting smart window technologies. The methodology combines the Fuzzy Analytic Hierarchy Process (FAHP) to determine criterion weights and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to rank alternatives. Nine sustainability-related criteria across the environmental, economic, and social dimensions were evaluated using expert input. The results identify thermochromic smart windows as the optimal choice. This research contributes a structured, adaptable, and scalable FMCDM framework for sustainable technology selection, with broader applicability to green product design and decision-making in the construction and energy sectors.

Keywords: fuzzy theory; MCDM model; smart window; TOPSIS; technology selection (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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