Using an Ontology for Modeling Decision-Making Knowledge

被引：3
|
作者：
Kornyshova, Elena [1 ]
Deneckere, Rebecca [1 ]
机构：
[1] Univ Paris 01, CRI, 90 Rue Tolbiac, F-75013 Paris, France
来源：
ADVANCES IN KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS | 2012年 / 243卷
关键词：
Decision-Making; Knowledge Modeling; Ontology;
D O I：
10.3233/978-1-61499-105-2-1553
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Decision-making (DM) knowledge is often represented as a set of basic definitions such as alternatives, criteria, decision matrix, and decision itself. However, this domain is much richer, and many other related notions are useful to make right decisions: preferences, weights, thresholds, and so on. This knowledge must be formalized within a model. In addition, the practical needs for DM as well as the number of researches dealing with decision-making increasingly grow. We suggest using the ontology representation for representing DM knowledge. In this paper, we analyze different ontology fundamentals, we present the DM ontology (DMO) and its application to the selection on an ERP tool, and we show how the ontology fundamentals were used for representing DM knowledge.
引用
收藏
页码：1553 / 1562
页数：10
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