An Ontology-Based Intelligent Decision Problem Analysis Method

Abstract:

The purpose of Decision Problem Analysis is to identify methods of solving decision problems, which can make it facilitate for the user to make decisions and solve problems quickly in Decision Support System. In order to improve the intelligence and accuracy of Decision Problem Analysis, an Ontology-based method is proposed. The method designs the ontic conceptual structure of decision problems by using Ontology. Finally, an instance was presented to explain how to use the method, and to verify the effectiveness of the method.

• Periodical: Applied Mechanics and Materials (Volumes 488-489)
• Pages: 1363-1370
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.488-489.1363
• Online since: January 2014
• Authors: Dong Bin Hu*, Zhao Wei Zeng, Jun Ding
• Keywords: Decision Problem, Knowledge Representation, Ontology, Solving Model

References

[1] Hu D B. Decision Problem Management System Development. Guangzhou: Jinan University Press, (2009).

[2] GorryGA, Scott M. A framework for management information systems. Sloan Management Review, 1971, 13(1): 55-70.

[3] Chen X L, Ding F, Xie Z. A kind of model construction method based on formal representation of decision problem/ the 6th International Conference on Wireless Communications, Networking and Mobile Computing , Chengdu, (2010).

DOI: 10.1109/wicom.2010.5600189

[4] Xiang Y, Yu C. Metasynthesis of complicated decision-making problem solving. Journal of Management Science (2001).

[5] Liu D R, Ke C K. Knowledge support for problem-solving in a production process：a hybrid of knowledge discovery and case-based reasoning. Expert Systems with Applications, 2007, 33: 147-161.

DOI: 10.1016/j.eswa.2006.04.026

[6] Gan J H, Jiang Y, Xia Y M. Ontology and Its Applications. Beijing: Science Press, (2011).

[7] Liu X W, Hu K J. DSS framework based on ontology and CBR. Computer Engineering and Applications, (2009).

[8] Xie H, Li. Research of case-based reasoning model based on ontology. Application Research of Computers, (2009).

[9] Xu B X, Ye P H. Research of the method of knowledge representation. Information Science, 2007, 25(5): 690-694.

[10] Study of R&D model management based on decision ontology in ODSS. The Journal of Information, 2008, 3: 87-89.

[11] Chen Y J. Development of a method for ontology-based empirical knowledge representation and reasoning. (2011).

[12] Liu O, Ma J. A multilingual ontology framework for R&D project management systems. Expert Systems with Applications, 2010, 37: 4626-4631.

DOI: 10.1016/j.eswa.2009.12.046

[13] Paul A. de C, Hasman A, Johannes A, et al. The application of ontologies and problem-solving methods for the development of shareable guidelines. Artificial Intelligence in Medicine, 2001, 22: 1-22.

DOI: 10.1016/s0933-3657(00)00097-x

[14] Abanda H, Ng'ombe A, Tah H M J, Keivani R. An ontology-driven decision support system for land delivery in Zambia. Expert Systems With Applications, 2011, 38: 10896-10905.

DOI: 10.1016/j.eswa.2011.02.130

[15] Papazoglou M P. Web Services and Technology. Beijing: China Machine Press, (2009).