Determining the Best Plastic Recycling Technology Using the MABAC Method in a Single-Valued Neutrosophic Fuzzy Approach

Abstract

In recent years, waste management approaches have shifted to recycling and recovery, and waste is
now viewed as a potentially new resource. Several research projects have developed extensive plans to observe
the planning in these waste management systems. These plastic recycling methods contribute to the creation
of environmentally friendly products from waste. In this study, we present a method of multi-attribute decision
making (MADM) to provide an efficient way to choose the best plastic recycling method from the selected four
recycling alternatives. The multi-attribute border approximation area comparison (MABAC) method is used
to evaluate the alternatives under the single-valued neutrosophic fuzzy set (SVNFS). Additionally, we used
SWARA in computing the weights of the attributes. Finally, a numerical illustration is given for this problem