A vague-rough set approach for uncertain knowledge acquisition

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A vague-rough set approach for uncertain knowledge acquisition. / Feng, Lin; Li, Tianrui; Ruan, Da; Gou, Shirong.

In: Knowledge-Based Systems, Vol. 24, No. 6, 03.04.2011, p. 837-843.

Research output: Contribution to journalArticle

Harvard

Feng, L, Li, T, Ruan, D & Gou, S 2011, 'A vague-rough set approach for uncertain knowledge acquisition', Knowledge-Based Systems, vol. 24, no. 6, pp. 837-843. https://doi.org/10.1016/j.knosys.2011.03.005

APA

Feng, L., Li, T., Ruan, D., & Gou, S. (2011). A vague-rough set approach for uncertain knowledge acquisition. Knowledge-Based Systems, 24(6), 837-843. https://doi.org/10.1016/j.knosys.2011.03.005

Vancouver

Author

Feng, Lin ; Li, Tianrui ; Ruan, Da ; Gou, Shirong. / A vague-rough set approach for uncertain knowledge acquisition. In: Knowledge-Based Systems. 2011 ; Vol. 24, No. 6. pp. 837-843.

Bibtex - Download

@article{12799561ccd0470e99e457fca2bb1885,
title = "A vague-rough set approach for uncertain knowledge acquisition",
abstract = "By combining both vague sets and rough sets in fuzzy data processing, we propose a vague-rough set approach for extracting knowledge under uncertain environments. We compute all attribute reductions using the vague-rough lower approximation distribution, concepts of attribute reduction and the discernibility matrix in a vague decision information system (VDIS). Research results for extracting decision rules from the VDIS show the proposed approaches extend the corresponding method in classical rough set theory and provide a new avenue to uncertain vague knowledge acquisition.",
keywords = "Knowledge acquisition, Rough sets, Vague sets, Vague rough sets, Attribute reduction, Uncertain information system",
author = "Lin Feng and Tianrui Li and Da Ruan and Shirong Gou",
note = "Score=10",
year = "2011",
month = "4",
day = "3",
doi = "10.1016/j.knosys.2011.03.005",
language = "English",
volume = "24",
pages = "837--843",
journal = "Knowledge-Based Systems",
issn = "0950-7051",
publisher = "Elsevier",
number = "6",

}

RIS - Download

TY - JOUR

T1 - A vague-rough set approach for uncertain knowledge acquisition

AU - Feng, Lin

AU - Li, Tianrui

AU - Ruan, Da

AU - Gou, Shirong

N1 - Score=10

PY - 2011/4/3

Y1 - 2011/4/3

N2 - By combining both vague sets and rough sets in fuzzy data processing, we propose a vague-rough set approach for extracting knowledge under uncertain environments. We compute all attribute reductions using the vague-rough lower approximation distribution, concepts of attribute reduction and the discernibility matrix in a vague decision information system (VDIS). Research results for extracting decision rules from the VDIS show the proposed approaches extend the corresponding method in classical rough set theory and provide a new avenue to uncertain vague knowledge acquisition.

AB - By combining both vague sets and rough sets in fuzzy data processing, we propose a vague-rough set approach for extracting knowledge under uncertain environments. We compute all attribute reductions using the vague-rough lower approximation distribution, concepts of attribute reduction and the discernibility matrix in a vague decision information system (VDIS). Research results for extracting decision rules from the VDIS show the proposed approaches extend the corresponding method in classical rough set theory and provide a new avenue to uncertain vague knowledge acquisition.

KW - Knowledge acquisition

KW - Rough sets

KW - Vague sets

KW - Vague rough sets

KW - Attribute reduction

KW - Uncertain information system

UR - https://ecm.sckcen.be/OTCS/llisapi.dll/overview/39152321

U2 - 10.1016/j.knosys.2011.03.005

DO - 10.1016/j.knosys.2011.03.005

M3 - Article

VL - 24

SP - 837

EP - 843

JO - Knowledge-Based Systems

JF - Knowledge-Based Systems

SN - 0950-7051

IS - 6

ER -

ID: 6856269