Ontological-based for supporting multi criteria decision-making
Rosmayati Mohemad, Noor Maizura Mohamad Noor, Abdul Razak Hamdan, Zulaiha Ali Othman · 2010
Large amount of unstructured information is much benefited for organizations if it could be analyzed and used especially to support decision-making process. It is impractical and time consuming for decision makers to manually process the ill-defined information since the standard tools available designed for structured data analysis. It motivates to devising an intelligent and automated tool to process this kind of information and make them recognizable for Decision Support Systems (DSS). This has addressed the need to have uniform knowledge representation in order to structure data into machine readable format for decision-making process. A framework of ontological-based for supporting multi criteria decision-making is proposed in this paper. Currently, the framework is under implementation as a research prototype. A case study is drawn from the Malaysian construction tender evaluation to demonstrate the applicability of our approach.