基于区间对偶犹豫模糊熵的反辐射无人机目标威胁评估

针对属性权重未知且评价信息以区间对偶犹豫模糊数形式给出的反辐射无人机目标威胁评估问题，研究 一种基于区间对偶犹豫模糊熵的TOPSIS 决策方法。给出区间对偶犹豫模糊熵的公理化定义，构造区间对偶犹豫模 糊熵公式求解属性权重，进一步利用TOPSIS 法对方案进行威胁评估，并通过实例进行验证。结果表明：该方法能 增加权重的科学性，提高评估的准确性，进一步丰富模糊多属性决策理论。

Objective Threat Assessment of Anti-radiation UAV Based on Interval-valued Dual Hesitant Fuzzy Entropy

Aiming at the problem of anti-radiation UAV target threat assessment with unknown attribute weights and evaluation information in the form of interval dual hesitation fuzzy numbers, a TOPSIS decision method based on the interval dual hesitation fuzzy entropy is studied. The axiomatized definition of interval dual hesitation fuzzy entropy is given, the interval dual hesitation fuzzy entropy formula is used to solve the attribute weights, and the TOPSIS method is used to carry out the threat assessment of the scheme and verified by examples. The results show that this method can increase the scientificity of weights, improve the accuracy of evaluation, and further enrich the fuzzy multi-attribute decision-making theory.