计算机工程与应用 ›› 2017, Vol. 53 ›› Issue (7): 171-176.DOI: 10.3778/j.issn.1002-8331.1510-0038
• 模式识别与人工智能 • 上一篇 下一篇
鲁小云
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LU Xiaoyun
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摘要: 基于犹豫模糊粒度结构理论,结合Shannon熵和梁吉业等人提出的新熵概念,给出[Ι]型和[Π]型犹豫模糊信息熵、联合熵、条件熵概念,讨论了两类犹豫模糊信息熵的偏序性,分析了给出的犹豫模糊信息熵、联合熵、条件熵与已存在的各类相关熵之间的关系。
关键词: 犹豫模糊粒度结构, 犹豫模糊信息熵, 犹豫模糊信息联合熵, 犹豫模糊信息条件熵
Abstract: Based on the theory?of hesitant fuzzy granularity structure, combined with the concepts of Shannon’s entropy and the new entropy introduced by Liang, the concepts of type[Ι]and type[Π]hesitant fuzzy information entropy, joint entropy, condition entropy are given. The partial order of hesitant fuzzy-information entropy is discussed, the relationships between?the hesitation fuzzy information entropy, joint entropy, condition entropy presented above and all kinds of related entropy that?already?exist are analyzed.
Key words: hesitant fuzzy granular structure, hesitant fuzzy information entropy, hesitant fuzzy information joint entropy, hesitant fuzzy information condition entropy
鲁小云. 犹豫模糊粒计算中信息熵研究[J]. 计算机工程与应用, 2017, 53(7): 171-176.
LU Xiaoyun. Study of information entropy in granular computing of hesitant fuzzy[J]. Computer Engineering and Applications, 2017, 53(7): 171-176.
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http://cea.ceaj.org/CN/Y2017/V53/I7/171