Semantic decision making using ontology-based soft sets
Semantic decision making using ontology-based soft sets
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DOI：
10.1016/j.mcm.2010.11.080
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发表时间：
2011-03
期刊：
影响因子：
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通讯作者：
Yuncheng Jiang;Hai Liu;Yong Tang;Qimai Chen
中科院分区：
文献类型：
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作者：
Yuncheng Jiang;Hai Liu;Yong Tang;Qimai Chen
Molodtsov提出了软集理论的概念，它可以作为处理不确定性的通用数学工具。描述逻辑（dl）是一类知识表示语言，可用于以结构化和形式上易于理解的方式表示应用领域的术语知识。为了扩展软集的表达能力，利用dl的概念作为软集的参数，提出了基于本体的软集。本文对基于软集的决策问题进行了更深入的研究。具体而言，我们首先通过一些激励实例指出传统的基于（模糊）软集的决策方法不适合解决涉及用户查询的决策问题。此外，我们提出了一种利用基于本体的软集和本体（即DL）推理来进行语义决策的新方法。最后，讨论了语义决策的实现方法。
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.