SMART CELL PHONE SELECTION WITH CODAS FROM MULTI-CRITERIA DECISION MAKING METHODS

Abstract

Decision making is the most important factor in achieving success in any field, especially in situations where a large amount of information and this information requires processing. Most real-world decision-making problems involve a wide range of alternatives and criteria to consider. Therefore, it is very difficult to make decisions in environments where there is a wide range of alternatives and criteria. In such environments, multi-criteria decision-making (CPC) methods are used to solve such complex problems. Multi-criteria decision-making (CPC) methods have been of great interest to researchers in recent years. The purpose of this article is to explain the CODAS (COmbinative Distance-based Assessment or Unifying Distance Based Assessment) method, which is relatively newer than other methods to solve CPCV problems and contains a number of features that have not been considered in other methods, and apply it to the field of smartphone selection. To determine the preference for an alternative, this method primarily uses the Euclid offset and taxicab offset as the secondary measure, and these offsets are calculated according to the negative-ideal solution (point). In the CODAS method, the alternative that is the furthest from the negative ideal solution is the best alternative. Analysis carried out within the scope of this study has shown that the CODAS method provides effective and consistent results for solving the problem of smartphone selection.