Rough set theory for incomplete interval-valued fuzzy information systems

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (13): 25-29.

• 研究、探讨 • Previous Articles Next Articles

Rough set theory for incomplete interval-valued fuzzy information systems

GONG Zengtai，TAO Lei

College of Mathematics and Information Science，Northwest Normal University，Lanzhou 730070，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-05-01 Published:2011-05-01

不完备区间值模糊信息系统的粗糙集理论

巩增泰，陶蕾

西北师范大学数学与信息科学学院，兰州 730070

Abstract

Abstract: By considering the incompleteness and uncertainty of information systems，the rough set theory for the incomplete interval-valued fuzzy information systems is discussed，and several properties of the rough approximation operators are showed.In addition，the knowledge discovery for the incomplete interval-valued fuzzy information systems is studied.As an application，the decision rule and the attribute reduction are presented based on an incomplete interval-valued decision table.

Key words: interval-valued fuzzy set, interval-valued fuzzy information system, incomplete information system

摘要： 考虑到模糊信息系统的不完备性和信息值的不确定性，讨论了不完备区间值模糊信息系统的粗糙集理论，给出了粗糙近似算子的性质。研究了不完备区间值模糊信息系统上的知识发现，提出了基于不完备区间值决策表的决策规则和属性约简，最后给出算例。

关键词: 区间值模糊集, 区间值模糊信息系统, 不完备信息系统

GONG Zengtai，TAO Lei. Rough set theory for incomplete interval-valued fuzzy information systems[J]. Computer Engineering and Applications, 2011, 47(13): 25-29.

巩增泰，陶蕾. 不完备区间值模糊信息系统的粗糙集理论[J]. 计算机工程与应用, 2011, 47(13): 25-29.

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Rough set theory for incomplete interval-valued fuzzy information systems

不完备区间值模糊信息系统的粗糙集理论

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