International Journal of Neutrosophic Science IJNS 2690-6805 2692-6148 10.54216/IJNS https://www.americaspg.com/journals/show/2131 2020 2020 Research Scholar, School of Mathematics, Madurai Kamaraj University and Assistant Professor, Department of Mathematics, SSM Institute of Engineering and Technology, Dindigul, Tamil Nadu, India. S. Sudha Department of Mathematics, Arul Ananda College(Autonomous),Karumathur, India. Nivetha Martin Department of Mathematics, Mount Carmel College (Autonomous), Bengaluru, Karnataka, Tamil Nadu, India. M. Clement Joe .. Department of Mathematics, Erode Sengunthar Engineering College, Perundurai, Tamil Nadu, India. P. G. Palanimani Ph.D Research Scholar, Department of Mathematics, Dr. N.G.P Arts and Science College, Coimbatore, Tamil Nadu, India. T. Thirunamakkani Sree Vidyanikethan Engineering College, Chitoor, Andra Predesh, India. B. Ranjitha The environmental disarray caused by plastic usage alarms the world leaders to join hands in making coordinated efforts in creating a green globe to support environment for the future generation. The responsibility of promoting environmental sustainability is not confined to government alone as all the producer companies have equal share in mitigating the plastic waste. One of the ideal strategies of environmental conservation practiced by many of the nations at recent times is extended producer’s responsibility (EPR). This research work purposes in building a multi-criteria decision-making model integrating the methods of MACBETH (Measuring attractiveness through a categorical-based evaluation technique) and MAIRCA (Multi Attributive Ideal-Real Comparative Analysis) in plithogenic environment to make optimal decisions on the plastic recycling methods subjected to four core criteria in EPR context. The efficiency of the newly developed integrated model is determined by comparing the model with other models integrating MAIRCA with the methods of CRITIC (CRiteria Importance Through Intercriteria Correlation) & FUCOM (Full Consistency Method). The sensitivity analysis helps in listing the merits and limitations of the proposed integrated model and also the consistency of the criterion weights and the ranking of the alternatives are checked. 2023 2023 114 130 10.54216/IJNS.220210 https://www.americaspg.com/articleinfo/21/show/2131