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.

Keywords

• multi-attribute decision making
• single-valued neutrosophic fuzzy set
• plastic recycling