Attribute Reduction for Set-Valued Ordered Fuzzy Decision System

被引：2
|
作者：
Bao, Zhongkui [1 ,2 ]
Yang, Shanlin [1 ]
机构：
[1] Hefei Univ Technol, Sch Management, Hefei 230009, Peoples R China
[2] Anhui Univ, Sch Math Sci, Hefei 230601, Peoples R China
来源：
2014 SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL 2 | 2014年
关键词：
set-valued ordered fuzzy decision system; delta - dominance relation; rough fuzzy set; attribute reduction;
D O I：
10.1109/IHMSC.2014.126
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Attribute reduction for set-valued ordered fuzzy decision system that considers attributes with preference-ordered domains and fuzzy decision attributes is investigated. Firstly, a delta - dominance relation is proposed, and d dominance relation-based rough fuzzy set model is defined for set-valued ordered fuzzy decision system. Then, judgment theorem of attribute consistent set is derived, and attribute reduction approach based on the discernibility matrices is proposed to eliminate redundant attributes that are not essential from the view of fuzzy decisions. Finally, an example is given to illustrate the results.
引用
收藏
页码：96 / 99
页数：4
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