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A sequential three-way approach to multi-class decision

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成果类型:
期刊论文
作者:
Yang, Xin;Li, Tianrui*;Fujita, Hamido;Liu, Dun
通讯作者:
Li, Tianrui
作者机构:
[Yang, Xin; Li, Tianrui] Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 611756, Sichuan, Peoples R China.
[Yang, Xin] Sichuan Technol & Business Univ, Sch Comp Sci, Chengdu 611745, Sichuan, Peoples R China.
[Yang, Xin] Univ Regina, Dept Comp Sci, Regina, SK S4S 0A2, Canada.
[Fujita, Hamido] Iwate Prefectural Univ, Fac Software & Informat Sci, Takizawa, Iwate 0200693, Japan.
[Liu, Dun] Southwest Jiaotong Univ, Sch Econ & Management, Chengdu 610031, Sichuan, Peoples R China.
通讯机构:
[Li, Tianrui] Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 611756, Sichuan, Peoples R China.
语种:
英文
关键词:
Sequential three-way decisions;Multi-class;Multilevel;Matrix
期刊:
International Journal of Approximate Reasoning
ISSN:
0888-613X
年:
2019
卷:
104
页码:
108-125
文献类别:
WOS:Article
所属学科:
WOS学科类别:Computer Science, Artificial Intelligence
入藏号:
基金类别:
National Science Foundation of China [61573292, 61572406, 61876157, 71571148]
机构署名:
本校为第一且通讯机构
院系归属:
信息科学与技术学院
经济管理学院
摘要:
Based on the notion of information and knowledge granularity, sequential three-way decisions can be interpreted and implemented as a multilevel trisecting-and-acting framework which leads to a faster decision-making with the less cost of decision process. At each level, objects are divided into the triplet, consisting of three pair-wise disjoint regions. By considering different combinations of regions, the uncertain objects should be further investigated at the next level due to insufficient information. In fact, sequential strategy is an effective idea to deal with multi-class problem in granular computing. On the basis of this recognition, we focus on a sequential three-way approach to multi-class decision in this paper. To solve the issues of unequal cost and rule conflict simultaneously, we present a novel matrix-based multi-class decision method based on Bayesian decision procedure. Subsequently, a sequence of the proposed multi-class models is conducted under a multilevel granular structure, and objects are assigned into one certain decision class gradually from the lower levels to the higher levels via a top-down manner. Finally, the results of empirical study involving six multi-class data sets on UCI are reported to validate the feasibility and effectiveness of our proposal. (C) 2018 Elsevier Inc. All rights reserved.
参考文献:
Azam N, 2016, LECT NOTES ARTIF INT, V9920, P209, DOI 10.1007/978-3-319-47160-0_19
Chen YF, 2017, KNOWL-BASED SYST, V127, P85, DOI 10.1016/j.knosys.2017.04.008
Deng GJ, 2016, LECT NOTES ARTIF INT, V9920, P250, DOI 10.1007/978-3-319-47160-0_23
Deng XF, 2014, FUND INFORM, V132, P291, DOI 10.3233/FI-2014-1045
Deng XF, 2014, INFORM SCIENCES, V279, P702, DOI 10.1016/j.ins.2014.04.022

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