Similarity Measures in Decision Making

In this paper, the authors present two similarity measure-based approaches. First, the problem is studied when multiple experts’ opinions are available. The purpose of using the similarity measure-based approach is to find the similarities between the different opinions. In this process, the maximum value of the fuzzy sets represents the degree of confidence of each expert. Furthermore, the authors propose a similarity measure-based process to monitor the current results of a real time system. In this method, the desired output is specified and then the current system output can be compared to the desired ones, so as to be able to recognize the abnormal values immediately.