Evaluating Waste's Hazardousness using Fuzzy Logic and Simple Additive Weighting

Abstract

It is vital to determine the most dangerous types of trash in terms of the environment and human health. The purpose of this selection is to make readers aware of the impact of garbage on the environment. As human knowledge of the environment grows, the utilization of garbage will naturally decrease. The goal of this research is to create a Decision Support Model (DSM) to decide which types of waste are the most dangerous. By integrating the Fuzzy Logic (FL) approach with the Simple Additive Weighting (SAW) method, the model takes into account six factors: Factory water waste, plastic waste, cloth waste, battery waste, electronic waste, and tube lamp waste. This model will be used by businesses that deal with information and technology, and in turn, it may be used to measure and rank waste, making it easier for readers to make key judgments such as which materials should be used less and which can do more harm to the environment and human health.