摘要
针对证据理论中证据冲突度量这一关键问题,提出了一种基于模糊熵的冲突度量方法,首先引入直觉模糊熵表示证据间的差异性,然后对传统的冲突系数进行了修正,使其能够反映由于概率指派函数对焦元支持的差异性所引起的冲突,最后结合修正后的传统冲突系数与模糊熵对两两证据间的冲突进行度量。通过对Zadeh悖论扩展、完全一致性证据、完全冲突性证据和焦元为嵌套子集等多种情况进行对比实验,实验结果表明本文算法是较为理想的证据冲突度量算法,能够正确预测证据集的冲突程度。
The conflict measure of evidence is the key issue for the evidence theory. A new method for conflict measure based on intuitionistic fuzzy entropy measures. The new method firstly show the difference between the evidence by using intuitionistic fuzzy entropy. Then theamended tradition conflict coefficient is used to measure the conflict which is caused by the difference of support by the basic probability assignment function. Finally, combing the amended traditional conflict and intuitionistic fuzzy entropy measure the conflict between the evidence. Experiments of the Zadeh paradox, completely conflict evidences set , completely consistency and nesting sequence of focal elements showed the new method could measure the conflict of evidences with a good performance.
出处
《电子设计工程》
2016年第20期121-124,128,共5页
Electronic Design Engineering
基金
2015年江苏省高等学校大学生创新创业训练计划项目(15012Y)
关键词
直觉模糊熵
证据理论
冲突度量
差异性度量
intuitionistic fuzzy set
evidence theory
conflict measure
difference measure
