Knowledge Representation and Validation in a Decision Support System: Introducing a Variability Modelling Technique

摘要: Knowledge has become the main value driver for modern organizations and been described as a critical competitive asset organizations. An important feature in development application of knowledge-based systems is knowledge representation techniques used. A successful technique provides means expressing well facilitating inference processes both human machines [19]. The limitation symbolic led to study more effective models [17]. Malhotra [14] defines challenges information-sharing culture future management integration decision-making actions across inter-enterprise boundaries. This decision making process will undergo different constraints. Therefore, existence method validate Decision Support System (DSS) system highly recommended. In third generation management, acts boundary objects around which can be organized [26]. viewed constructionist pragmatic perspective good something that allows flexible thinking construction artifacts paper answers two questions [26] context DSS: 1) how define represent 2) DSS. For any decision, there are many choices maker select from [7]. selection takes place at point selected choice. example, if someone wants pay something, payment mode either by cash or credit card, point; card choices. Now, we conclude points Choices, constraint dependency rules between these collectively named variability. Task variability defined [5] number exceptions encountered characteristics work. tested importance satisfaction. Although existing approaches representing DSS, design implementation useful considers DSS much desired.