Rough Set Model for Cognitive Expectation Embedded Interval-Valued Decision Systems

DAI Jianhua; LIU Zhenbo; HU Hu; SHI Hong

doi:10.1049/cje.2017.09.024

Volume 27 Issue 4

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Article Navigation > Chinese Journal of Electronics > 2018 > 27(4): 675-679

DAI Jianhua, LIU Zhenbo, HU Hu, et al., “Rough Set Model for Cognitive Expectation Embedded Interval-Valued Decision Systems,” Chinese Journal of Electronics, vol. 27, no. 4, pp. 675-679, 2018, doi: 10.1049/cje.2017.09.024

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DAI Jianhua, LIU Zhenbo, HU Hu, et al., “Rough Set Model for Cognitive Expectation Embedded Interval-Valued Decision Systems,” Chinese Journal of Electronics, vol. 27, no. 4, pp. 675-679, 2018, doi: 10.1049/cje.2017.09.024

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Rough Set Model for Cognitive Expectation Embedded Interval-Valued Decision Systems

doi: 10.1049/cje.2017.09.024

1.
School of Computer Science and Technology, Tianjin University, Tianjin 300350, China;
2.
College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61473259, No.61502335, No.61070074, No.60703038), the National Science & Technology Support Program of China (No.2015BAK26B00, No.2015BAK26B02, No.2015BAK26B01), the Zhejiang Provincial Natural Science Foundation (No.LY14F020019), and the PEIYANG Young Scholars Program of Tianjin University (No.2016XRX-0001).

Received Date: 2016-10-12
Rev Recd Date: 2017-04-09
Publish Date: 2018-07-10

Abstract

Abstract

Interval-valued information system is a kind of knowledge representation model for uncertain information. An interval-valued attribute has an expectation by experience or background knowledge, called cognitive expectation. There are few studies aiming at intervalvalued attributes with cognitive expectations. We propose the concept of Interval-valued decision system with expectations (IDSE). A new dominance relation based on the distances between expectations and interval values is constructed. Based on the constructed dominance relation, a rough set model for IDSE is investigated. Attribute reduction in IDSE is also examined by using discernibility matrices and discernibility functions.
- Rough set,
- Interval-valued decision system with cognitive expectation,
- Attribute reduction

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References(22)

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