Facilitating Knowledge Acquisition Methodologies for a Knowledge-based Decision Support System
Abstract
Keywords
Full Text:
PDFReferences
Alonso, F., Lopez, G., Manrique, D., & Vines, J. M. (2005). An instructional model for web-based e-learning education with a blended learning process approach. British Journal of Educational Technology, 36(2), 217–235.
Kumar Suneel., Natarajan BR (2008).An Architecture for Knowledge-based Educational Administration Systems. In proceedings of IEEE R-10 Colloquium and the 3rd International Conference on Industrial and Information Systems (ICIIS-2008) , Indian Institute of Technology (IIT), Kharagpur, 08 – 10 December 2008.
Chan, L.K., Wu, M.L.: (2003) Quality function deployment: a comprehensive review of its concepts and methods. Qual. Eng. 15(1), 23–35.
Milton, N., (2007). “Knowledge Acquisition in Practice: A Step-by-step Guide”, Springer-Verlag London Ltd., London, UK.
S. Preston, C. Chapman (2005) “Knowledge acquisition for knowledge-based engineering system”, Int. J. Information Technology and Management, vol. 4, no. 1.
Bonifacio, M. and Molani, A. (2003), The Richness of Diversity in Knowledge Creation: An Interdisciplinary Overview, Journal of Universal Computer Science, 9(6).
Stenmark, D. (2003), Knowledge Creation and the Web: Factors Indicating Why Some Intranets Succeed Where Others Fail, Knowledge and Process Management, 10(3): 207-216.
N. Lavrac and I. Mozetic,(1989) Methods for knowledge acquisition and refinement in second generation expert systems. SIGART Newsletter 108, pp. 63–69.
Boose, J.H., and Bradshaw, J.M. (1987). “Expertise transfer and complex problems: using AQUINAS as a knowledge-acquisition workbench for knowledge-based systems” International Journal of Man-Machine Studies, Vol. 26, pp. 3-28.
Hwang, G.-J.(1992). Knowledge elicitation and integration from multiple experts. In: Proceedings of the Fourth International Conference on Computing and Information: Computing and Information, pp. 208–211.
Chan, L.K., Wu, M.L.(1998) Prioritizing the technical measures in quality function deployment. Qual. Eng. 10(3), 467–479.
[Tsai-Chi., Kuo Hsin-Hung., Wu Jiunn-I Shieh. (2009) Integration of environmental considerations in quality function deployment by using fuzzy logic., Expert Systems with Applications: An International Journal., Volume 36 , Issue 3, Pages 7148-7156 .
Chan, L.K., Wu, M.L.(2005) A systematic approach to quality function deployment with a full illustrative example. Omega 33, 119–139.
Akao, Y., (Ed.) (1990) Quality Function Deployment: Integrating Customer Requirements into Product Design; Productivity Press: Cambridge, MA.
Kelly,G.A. (1955). The Psychology of Personal Constructs,,W.W. Norton, NY,
Jankowicz, Devi (2004). The easy guide to repertory grids. Chichester, West Sussex, England: Wiley
Yorke, M. (1985). Administration, analysis and assumptions: Some aspects of validity. In N. Beail (Ed.), Repertory grid technique and personal constructs: Applications in clinical and educational settings (pp. 383–399). London: Croom Helm.
Björklund, Lars-Erik (2008b). The Repertory Grid Technique: Making Tacit Knowledge Explicit: Assessing Creative Work and Problem Solving Skills. In H. Middleton, ed. Researching technology education: methods and techniques. Rotterdam: Sense Publishers. Pp 46-69.
Mole, R.H.(2000) Testing the repertory grid for personal decision making and problem solving. Mater’s Thesis, Department of Educational Psychology, The University of Calgary (2000).
ReVelle, J. B. et al., (1998).The QFD Handbook, John Wiley & Sons, Inc.
B. G. Buchanan, D. Barstow, R. Bechtel, J. Bennet, W. Clancey, C. Kulikowski, T. Mitchell, and D. A. Waterman,(1983). “Constructing an expert system,” in Building Expert Systems, F. Hayes-Roth, D. A. Waterman, and D. B. Lenat, Eds. Reading, MA: Addison-Wesley.
Refbacks
- There are currently no refbacks.