A rough set model for incomplete and multi-valued information systems

被引：0

作者：

Qiu, Taorong ^{[1
]}

Liu, Lu ^{[1
]}

Duan, Longzhen ^{[1
]}

Zhou, Shilin ^{[1
]}

Huang, Haiquan ^{[1
]}

机构：

[1] Department of Computer, Nanchang University

来源：

International Journal of Digital Content Technology and its Applications | 2012年 / 6卷 / 20期

关键词：

Incomplete and multi-valued information system; Information system; Rough set;

D O I：

10.4156/jdcta.vol6.issue20.6

中图分类号：

学科分类号：

摘要：

With the rapid development of information and network technology, there exist complicate incomplete information systems with multi-valued in many real domains. Nowadays, rule induction or automated knowledge acquisition and information retrieval from the complicate information systems are important research problems. Although many rough set models have been developed, they do not focus on this kind of information systems. In order to make techniques used in data mining based on the rough set models deal with the information systems, we extend information function and present corresponding rough set model, which can cover the existing rough set models. It becomes practical to induce decision rules and to acquire knowledge when copying with the incomplete and multi-valued information systems.

引用

页码：53 / 61

页数：8

共 11 条

[1]

Cheng Z., Kuang X., Research and Application of Rough Set-based Phone Sales Outlets Decision, IJACT, 4, 2, (2012)

[2]

Qian Y., Liang G., Witold P., Positive approximation: An accelerator for attribute reduction in rough set theory, Artificial Intelligence, 174, 9-10, pp. 597-618, (2010)

[3]

Huijian X., Guo F., Combining Rough Set and Principal Component Analysis for Preprocessing on Commercial Data Stream, JCIT, 7, 2, pp. 132-140, (2012)

[4]

Li J., Liu X., Hui D., Research of Image Recognition based on Rough Set, JDCTA, 6, 9, pp. 141-146, (2012)

[5]

Wojciech Z., Variable precision rough sets model, Journal of Computer and System Sciences, 46, 1, pp. 39-59, (1993)

[6]

Didier D., Henri P., Rough fuzzy sets and fuzzy rough sets, International Journal of General Systems, 17, 2-3, pp. 191-209, (1990)

[7]

Dominik S., Wojciech Z., Attribute reduction in the bayesian version of variable precision rough set model, Electronic Notes In Theoretical Computer Science, 82, 4, pp. 1-11, (2003)

[8]

Wan G., Extension of rough set under incomplete information systems, Journal of Computer Research and Development, 39, 10, pp. 1238-1243, (2002)

[9]

Marzena K., Rough set approach to incomplete information systems, Information Sciences, 112, pp. 39-49, (1998)

[10]

Cheng J., Cao F., The extension of rough set theory in multi-valued information systems, Computer Applications, 26, 12, pp. 158-160, (2006)

← 1 2 →