Analysis of green buildings based on CODAS method and WASPAS method for circular linguistic T-Spherical fuzzy Hamy mean aggregation operators

The term green building refers to the use of state-of-the-art scientific and technological methods to design buildings that have the least potential adverse environmental impact. To assess possible green construction choices, a comprehensive analysis is required, taking into account a number of aspects, many of which may be incompatible. A novel category of fuzzy sets, known as circular linguistic T-Spherical fuzzy sets, is presented in this article. It is founded on the circular linguistic T-Spherical fuzzy sets and linguistic variables can be used to characterize the qualitative evaluation of decision makers while giving them greater latitude in expressing their opinions regarding admissible membership grades. Secondly, we introduced several circular linguistic T-Spherical fuzzy Hamy mean aggregation operators, including circular linguistic T-Spherical fuzzy Hamy mean/weighted Hamy mean aggregation operators and their duals within the setting of an entirely novel algebraic circular linguistic operational laws. Meanwhile, we also explain a variety of characteristics that these suggested operators exhibit, as well as particular scenarios that permit parameter adjustments. Next, the CODAS and WASPAS construction frameworks incorporate these aggregation operators, making it simpler to rank and thoroughly assess concepts. Furthermore, we provide a detailed analysis of the recently proposed multi-attribute group decision method based on the circular linguistic T-Spherical fuzzy weighted Hamy mean/dual weighted Hamy mean aggregation operators. We test the viability of the approach by applying the suggested methods to issues pertaining to the creation of green buildings and sustainable architecture. Regarding decision-making skills, the proposed method performs better than several other methods that have been explored in the literature. This study improves the methods for making decisions about green buildings and sustainable architecture in complicated and unpredictable situations.