Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31009
Title: An ontology-driven framework for supporting complex decision process
Authors: Chai, J
Liu, J
Keywords: Computational complexity
Decision making
Group decision support systems
Ontologies (artificial intelligence)
Software architecture
Issue Date: 2010
Publisher: IEEE
Source: World Automation Congress (WAC), 2010 : date, 19-23 Sept. 2010, Kobe Japan, p. 1-6 How to cite?
Abstract: The study proposes a framework of ONTOlogy-based Group Decision Support System (ONTOGDSS) for decision process which exhibits the complex structure of decision-problem and decision-group. It is capable of reducing the complexity of problem structure and group relations. The system allows decision makers to participate in group decision-making through the web environment, via the ontology relation. It facilitates the management of decision process as a whole, from criteria generation, alternative evaluation, and opinion interaction to decision aggregation. The embedded ontology structure in ONTOGDSS provides the important formal description features to facilitate decision analysis and verification. It examines the software architecture, the selection methods, the decision path, etc. Finally, the ontology application of this system is illustrated with specific real case to demonstrate its potentials towards decision-making development.
URI: http://hdl.handle.net/10397/31009
ISBN: 978-1-4244-9673-0
978-1-889335-42-1 (E-ISBN)
ISSN: 2154-4824
Appears in Collections:Conference Paper

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