| 犹豫模糊粒计算中信息熵研究 |
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| 引用本文： | 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. DOI: 10.3778/j.issn.1002-8331.1510-0038 |
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| 作者姓名： | 鲁小云 |
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| 作者单位： | 青海师范大学 计算机学院，西宁 810008 |
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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。
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| 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 |
Study of information entropy in granular computing of hesitant fuzzy |
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| LU Xiaoyun. Study of information entropy in granular computing of hesitant fuzzy[J]. Computer Engineering and Applications, 2017, 53(7): 171-176. DOI: 10.3778/j.issn.1002-8331.1510-0038 |
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| Authors: | LU Xiaoyun |
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| Affiliation: | School of Computer, Qinghai Normal University, Xining 810008, China |
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| 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. |
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| Keywords: | hesitant fuzzy granular structure hesitant fuzzy information entropy hesitant fuzzy information joint entropy hesitant fuzzy information condition entropy |
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