[1]梁美社,米据生,赵天娜.广义优势多粒度直觉模糊粗糙集及规则获取[J].智能系统学报,2017,12(6):883-888.[doi:10.11992/tis.201706034]
LIANG Meishe,MI Jusheng,ZHAO Tianna.Generalized dominance-based multi-granularity intuitionistic fuzzy rough set and acquisition of decision rules[J].CAAI Transactions on Intelligent Systems,2017,12(6):883-888.[doi:10.11992/tis.201706034]
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LIANG Meishe,MI Jusheng,ZHAO Tianna.Generalized dominance-based multi-granularity intuitionistic fuzzy rough set and acquisition of decision rules[J].CAAI Transactions on Intelligent Systems,2017,12(6):883-888.[doi:10.11992/tis.201706034]
广义优势多粒度直觉模糊粗糙集及规则获取
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
12
期数:
2017年第6期
页码:
883-888
栏目:
学术论文—知识工程
出版日期:
2017-12-25
- Title:
- Generalized dominance-based multi-granularity intuitionistic fuzzy rough set and acquisition of decision rules
- Keywords:
- multi-granularity; rough set; triangular norm; dominance relation; intuitionistic fuzzy information system; decision rules
- 分类号:
- TP391
- 摘要:
- 优势关系粗糙集模型是研究序信息系统中数据挖掘的主要方法。为了丰富现有优势关系粗糙集模型，使其更加有效地应用于实际问题，本文首先在直觉模糊决策信息系统中利用三角模和三角余模定义了3种优势关系，得到了3种优势类；其次构造了广义优势关系多粒度直觉模糊粗糙集模型，讨论了该模型的主要性质；随后给出如何从直觉模糊决策信息系统中获取逻辑连接词为“或”的决策规则；最后通过实例说明该模型在处理直觉模糊决策序关系信息系统时是有效的。
- Abstract:
- The dominance relation rough set model is the main method of data mining when researching order information systems. In this paper, we attempt to enrich the present model and make it more effective for practical problems using the following methods: Firstly, defining three types of dominance relations using triangular norms and co-norms in an intuitionistic fuzzy decision information system; here, three types of dominance class were obtained; secondly, establishing a generalized dominance-based multi-granularity intuitionistic fuzzy rough set model and discussing its properties; thirdly, establishing the decision rules for obtaining the logic connective “OR” in the intuitionistic fuzzy decision information system; and finally, using an example to illustrate the effectiveness of the model.
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备注/Memo
收稿日期:2017-06-09;改回日期:。
基金项目:国家自然科学基金项目（61573127，61300121，61502144）；河北省自然科学基金项目（A2014205157）；河北省高校创新团队领军人才培育计划项目（LJRC022）；河北师范大学研究生创新项目基金项目（CXZZSS2017046）.
作者简介:梁美社,男,1986年生,讲师,博士研究生,主要研究方向为粗糙集理论、粒计算;米据生,男,1966年生,教授、博士生导师,主要研究方向为粗糙集、概念格,近似推理;赵天娜,女,1992年生,硕士研究生,主要研究方向为粗糙集、概念格。
通讯作者:梁美社.E-mail:liangmeishe@163.com.
更新日期/Last Update:
2018-01-03