aspg-3-1125-1791417818 20261008000338 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Fusion: Practice and Applications FPA 2770-0070 2692-4048 2021 5 1 Mahmoud Ismail Faculty of computers and Informatics, Zagazig University, Zagazig, 44519, Egypt Abduallah Gamal Faculty of computers and Informatics, Zagazig University, Zagazig, 44519, Egypt Optimizing efficiency studies were carried out to comply with environmental norms by using MCDM techniques to pick low GWP refrigerants for automotive air conditioning. Multi-criteria optimization for time consumption based on ratio analysis plus full multiplicative form (MULTIMOORA), is being employed in this work to compare 10 distinct alternatives with 10 criteria. Thermal conductivity, vapor pressure, saturation fluid density, latent specific heat, fluid viscosity, GWP, ozone-depleting potential, and cost per pound are among the many response qualities suited for data acquisition in terms of thermodynamics, and environmental stewardship, and economics. It is possible to standardize decision-makers grading and weighting systems using MCDM methodologies. RAA3 had the greatest rank among the 10 refrigerants tested in the MULTIMOORA methodology. The EDAS and TOPSIS techniques identified R-744 to be the worst refrigerant, whereas the MOORA approach showed RAA5 to be the worst refrigerant. 2021 42 50 1125 https://creativecommons.org/licenses/by/4.0/ 10.54216/FPA.050104 https://www.americaspg.com/journal/3/article/1125 https://www.americaspg.com/storage/2478.pdf