核材料γ能谱指纹模糊识别机理研究

以γ射线的能量与强度所构成的二维平面为论域，提出了关于γ射线能谱的二维模糊集合的概念，建立了γ射线能谱二维模糊集合隶属函数.提出和介绍了γ射线能谱指纹模糊识别的基本原理与方法.通过对γ能谱数据的归一化处理，实现了γ射线能谱指纹的类型识别和个体识别.通过引入识别增强因子，获得了较高的识别置信度.对模拟放射性物质的γ射线能谱指纹进行了识别研究，探讨了系统统计涨落以及探测距离变化对识别隶属度的影响.研究表明，γ射线能谱指纹模糊识别方法具有较强的类型识别能力和个体识别能力，可应用于核安全保障等领域. 关键词： γ能谱指纹 模糊识别 核材料

Investigation on the fuzzy recognition mechanism for r-ray fingerprints of nuclear materials

Within the scope of the two_dimensional space with the energy and intensity of γ-ray as coordinates, we brought forward the concept of the two_dimensional fuzzy set about spectra, and established the membership function. We also introduced the fundamental principles and method for identifying the γ-ray fingerprints by fuzzy recognition technique. By regularizing the spectra, we succeeded in identifying the types and individuals of nuclear materials. Further more, we introduced the multiplying factor, and thus obtained high degree of confidence in identifying the spectra. We identified the simulation materials as radiation sources with the method, and studied the influence of the detecting distance and the detecting system fluctuation on the membership degree. The results show that the method has strong capabilities of identifying the types and the individuals of radiation sources, and can be applied to the nuclear materials safeguard.