Multiple Attribute Decision Making Methods for Modeling Global Air Pollution Level

Abstract

The aim of the paper is to present some aspects about how we can use multiple attribute decision making tools for modeling global air pollution level, an indicator which can be used to analyze and compare the air quality from different regions in order to establish their hierarchy according to this aspect. An indicator for the global air pollution level, obtained by applying SAW method is proposed in this paper. When applying multiple attribute decision making methods not only different methods can be used to solve the problem of interest, but different kind of tools within same method. In this paper we also make comparisons between different normalization techniques we can use, in order to see if and how they influence the proposed indicator and, therefore, the final hierarchy of the regions we want to rank according to it.