Sniper Rifle Selection Using Evidential Fuzzy Multi-Criteria Decision Making

Abstract

Some of the main reasons for the uncertainties that are effective in the decision-making processes are imprecision, randomness, and ambiguity. One of the methods to deal with these uncertainties is the DST method. DST stands out in applications, especially with its ability to cope with both random and incomplete information and inconsistency. The main purpose of this study is to compare the results obtained in a previous sniper rifle selection problem with the results obtained by the DST method using EFMCDM and to evaluate whether the results obtained by the two methods are compatible with each other. In this study 4 sniper rifles were evaluated with respect to 6 criteria. From the research findings it was concluded that the DST method provides similar results to the outranking based fuzzy decision-making method for the sniper rifle selection problem. In addition, the results show that the security forces can use the DST method for this type of selection problem. In conclusion, it has been demonstrated that the EFMCDM method based on the belief entropy method can be used in many similar selection problems.