Testing Fuzzy Hypotheses with Fuzzy Data Based on Confidence Interval in Radar Detection Criteria

摘要

A new statistical procedure has been introduced to solve the problem of testing fuzzy hypotheses with fuzzy data based on confidence intervals. First, we present a theoretical algorithm of testing the crisp (classical) hypotheses with an example in radar detection. And then we present the new theoretical algorithm of testing fuzzy hypotheses with fuzzy data based on confidence intervals. Third, the same previous example will be again solved but with fuzzy data and fuzzy hypotheses. Finally, a scientific conclusion represents the advantages of this method.