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September 10, 2025MathematicsOpen Access

Fuzzy Hypothesis Testing for Radar Detection: A Statistical Approach for Reducing False Alarm and Miss Probabilities

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The proposed fuzzy hypothesis testing framework enhances radar detection reliability across various conditions.
Despite their inverse relationship, the method optimizes both false alarm and miss probabilities through adaptive decision rules.
The methodology consists of three phases to systematically adjust detection thresholds based on crisp and fuzzy data.
Validation through real and synthetic simulations confirms the approach's effectiveness in civilian and military radar applications.

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This method reduces false alarm and miss probabilities in radar detection, indicating improved decision making under uncertainty.

Elsherif et al. (2025) studied this question.

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