Abstract

Science and technology have advanced and powerful to notch higher in the field of plastic waste management (PWM), recycling, and disposal. However, pollution from the most inexhaustible significant chemical is even greater, and it is steadily increasing. This pollution, which is hidden from view, tends to produce micro/nano plastic waste, which has an impact on our ecology’s climate cycle, food cycle, and health. It is significantly worsening day-by-day in emerging countries because to increased demand, consumption, and low prices. Even though the digital media provides awareness, trash dumping and tossing in both aquatic and terrestrial environments is expanding in front of us. Municipal solid waste management (MSWM) boards in developing nations, in particular, are struggling to practically erase their own garbage. Sophisticated innovation, such as Waste-to-Energy on plastics, makes handling terrestrial plastic waste easier, but overcrowding, an unequal economy, and unknown epidemic, and poor management wreak havoc on waste disposal. As a consequence, we were motivated to look into the obstacles of PWR implementation and progress, as well as more sustainable recycling solutions to address these issues. We made a contribution by creating the Single-valued intuitionistic trapezoidal neutrosophic fuzzy set (SVITNFS), which can analyze more data and come closer to the true best decision for overcoming these challenges and working intelligently. Because this set has been incorporated in the fusion of two conventional multi-criteria decision making (MCDM) methods yet this time with different procedures, the final ranking will undoubtedly give policymakers with an alternate choice before adopting a recycling strategy to cope with their unique uncertain issue.

Full Text
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