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题名:
semantic decision making using ontology-based soft sets
作者: Jiang Yuncheng ; Liu Hai ; Tang Yong ; Chen Qimai
关键词: Data description ; Knowledge representation ; Ontology ; Semantics ; Set theory
刊名: Mathematical and Computer Modelling
发表日期: 2011
卷: 53, 期:5-6, 页:1140-1149
收录类别: ei
部门归属: (1) School of Computer Science, South China Normal University, Guangzhou 510631, China; (2) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China
英文摘要: Molodtsov initiated the concept of soft set theory, which can be used as a generic mathematical tool for dealing with uncertainty. Description Logics (DLs) are a family of knowledge representation languages which can be used to represent the terminological knowledge of an application domain in a structured and formally well-understood way. To extend the expressive power of soft sets, ontology-based soft sets are presented by using the concepts of DLs to act as the parameters of soft sets. In this paper, we investigate soft set based decision making problems more deeply. Concretely, we first point out that the traditional approaches to (fuzzy) soft set based decision making are not fit to solve decision making problems involving user queries through some motivating examples. Furthermore, we present a novel approach to semantic decision making by using ontology-based soft sets and ontology (i.e., DL) reasoning. Lastly, the implementation method of semantic decision making is also discussed. © 2010 Elsevier Ltd.
语种: 英语
WOS记录号: WOS:000286458200059
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.iscas.ac.cn/handle/311060/14003
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
Jiang Yuncheng,Liu Hai,Tang Yong,et al. semantic decision making using ontology-based soft sets[J]. Mathematical and Computer Modelling,2011-01-01,53(5-6):1140-1149.
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