Fuzzy hypotheses testing using fuzzy data and confidence interval in radar decision criteria

摘要

A new algorithm for solving testing hypotheses has been presented when both hypotheses and data are fuzzy based on fuzzy test statistic. First, we provide a confidence interval for the given fuzzy data. Then, we construct the related fuzzy test statistic. Also, a practical example for radar decision criteria is provided based on it to clarify the new algorithm. Finally, a comparison has been made with other three different methods to illustrate their weak points. The advantages of the proposed method with respect to the three methods are shown and discussed.