Title: semantic decision making using ontology-based soft sets
Author: Jiang Yuncheng
; Liu Hai
; Tang Yong
; Chen Qimai
Keyword: Data description
; Knowledge representation
; Ontology
; Semantics
; Set theory
Source: Mathematical and Computer Modelling
Issued Date: 2011
Volume: 53, Issue: 5-6, Pages: 1140-1149 Indexed Type: ei
Department: (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
English Abstract: 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. Language: 英语
WOS ID: WOS:000286458200059
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Content Type: 期刊论文
URI: 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.
