| 基于乐观和悲观策略的犹豫模糊粗糙集方法 |
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| 引用本文： | 李建卓.基于乐观和悲观策略的犹豫模糊粗糙集方法[J].模式识别与人工智能,2018,31(11):986-996. |
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| 作者姓名： | 李建卓 |
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| 作者单位： | 1.宝鸡文理学院 计算机学院 宝鸡 721013 |
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| 基金项目： | 国家自然科学基金项目(No.51207002)、陕西省教育厅专项科学研究项目(No.15JK1028)、宝鸡文理学院校级重点项目(No.zk2017004)资助 |
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| 摘 要： | 已有的犹豫模糊粗糙集并未考虑多源信息处理的需要.为了解决这一问题,文中分别提出乐观多粒度犹豫模糊粗糙集模型和悲观多粒度犹豫模糊粗糙集模型,并详细分析这两种模型的理论性质.最后通过一个多源信息系统的实例对比分析乐观和悲观形式下的近似集.
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| 关 键 词： | 犹豫模糊集 多粒度 乐观 悲观 粗糙集 |
| 收稿时间： | 2018-03-29 |
Hesitant Fuzzy Rough Set Approach Based on Optimistic and Pessimistic Strategies |
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| LI Jianzhuo.Hesitant Fuzzy Rough Set Approach Based on Optimistic and Pessimistic Strategies[J].Pattern Recognition and Artificial Intelligence,2018,31(11):986-996. |
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| Authors: | LI Jianzhuo |
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| Affiliation: | 1.School of Computer, Baoji University of Arts and Sciences, Baoji 721013 |
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| Abstract: | The existing hesitant fuzzy rough set model does not take the multi-source information into account. To solve this problem, an optimistic strategy based multigranulation hesitant fuzzy rough set model and a pessimistic strategy based multigranulation hesitant fuzzy rough set model are proposed, respectively. The properties of the two models are shown. Finally, the approximate sets under optimistic version and pessimistic version are analyzed by an example of a multi-source information system. |
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| Keywords: | Hesitant Fuzzy Set Multigranulation Optimistic Pessimistic Rough set |
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