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机构地区:[1]信息工程大学地理空间信息学院 [2]95900部队 [3]信息工程大学导航与空天目标工程学院 [4]71687部队
出 处:《计算机应用》2015年第12期3461-3464,共4页journal of Computer Applications
摘 要:为解决直觉模糊熵的定义和度量不合理问题,提出了一种直觉模糊熵的公理化定义并构造了新的度量方法。首先分析了现有直觉模糊熵的公理化定义中存在的差异并指出其缺陷和不足;接着提出了一种改进的直觉模糊熵的公理化定义,并构造了新的直觉模糊熵的计算公式;最后,通过实例,将新公式与现有直觉模糊熵公式进行了比较对比。算例分析表明,所提出的熵公式能够反映直觉模糊集的不确定性和模糊性,并且对直觉模糊集不确定性的区分能力更强。To resolve the irrationality in the definition and measurement of intuitionistic fuzzy entropy, a new axiomatic definition for intuitionistic fuzzy entropy was proposed, and a new measuring formula was structured. Firstly, the existing differences in research of axiomatic definition for intuitionistic fuzzy entropy were analyzed, its defects and insufficiency were also pointed out. Secondly, an improved axiomatic definition for intuitionistic fuzzy entropy and a calculation formula of intuitionistic fuzzy entropy were proposed. Finally, the new formula was compared with the existing formulas for intuitionistic fuzzy entropy by examples. The results of the example analysis show that, the proposed entropy formula can reflect better the uncertainty and fuzziness of intuitionistic fuzzy sets, and the capability to discriminate the uncertainty of intuitionistic fuzzy sets is stronger.
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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