Title :
Radar decision with certain degree of acceptance based on fuzzy test of hypotheses
Author :
Elsherif, Ahmed ; Chunming Tang
Author_Institution :
Dept. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
Abstract :
A new statistical procedure has been introduced to solve the problem of testing statistical hypotheses for fuzzy data using the relationship between confidence intervals and testing hypotheses. First, we present a theoretical algorithm for testing the hypotheses based on the relation between the confidence interval and test of hypotheses. Then, calculation for radar detection is computed based on crisp data and hypothesis. Third, we present a theoretical algorithm based on the relation between the fuzzy confidence interval and fuzzy test of hypotheses with numerical example for radar detection problem. Finally, a scientific conclusion presents how this approach is more easily than the other procedures.
Keywords :
fuzzy systems; radar detection; fuzzy confidence interval; fuzzy hypotheses test; radar decision; radar detection; statistical hypotheses; Error probability; Fuzzy sets; Probability density function; Radar detection; Receivers; Testing; Fuzzy confidence interval; Fuzzy hypotheses; Radar Decision; membership function;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-3278-8
DOI :
10.1109/ICSESS.2014.6933731