Title :
An ontology-driven framework for supporting complex decision process
Author :
Chai, Junyi ; Liu, James N K
Author_Institution :
Dept. of Comput., Hong Kong Polytech. Univ., Kowloon, China
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.
Keywords :
computational complexity; decision making; group decision support systems; ontologies (artificial intelligence); software architecture; Web environment; complex decision process; complex structure; decision analysis; decision path; embedded ontology structure; formal description; group decision making; group decision support system; ontology driven framework; selection method; software architecture; Decision support systems; Problem-solving; Semantics; GDSS; Ontology; decision process; group decision-making; workshop system;
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824