By Julie Main, Tharam S. Dillon, Simon C. K. Shiu (auth.), Sankar K. Pal MTech, PhD, DIC, Fellow IEEE, Tharam S. Dillon BE, PhD, FSaRS, FIE, SMIEEE, Daniel S. Yeung BA, MA, MSc, MBA, PhD, FHKIE (eds.)
Soft Computing in Case dependent Reasoning demonstrates how numerous delicate computing instruments should be utilized to layout and advance methodologies and structures with case dependent reasoning for real-life decision-making or acceptance problems.
Comprising contributions from specialists from around the world, it:
- offers an advent to CBR and delicate computing, and the relevance in their integration
- Evaluates the strengths and weaknesses of CBR in its present form
- provides contemporary advancements and critical purposes in domain names similar to data-mining, scientific prognosis, knowledge-based specialist structures, banking, and forensic investigation
- Addresses new info on constructing clever systems
This ebook may be of specific curiosity to graduate scholars and researchers in computing device technology, electric engineering and knowledge expertise however it may also be of curiosity to researchers and practitioners within the fields of structures layout, trend reputation and information mining.
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Additional resources for Soft Computing in Case Based Reasoning
The direct translation for a concrete inverting function f would mean f(SIM(u,w)) ~ f(SIM(u,v)) + f(SIM(v,w)). 19) This shows that the triangle inequality is not easy to express if all inverting functions f have to be regarded. For the concrete function f(x) = 1 - x we simply get SIM (u, v) + SIM (v, w) ~ 1 + SIM (u, w). As another candidate we might consider the inverted triangle inequality of distances: SIM(u,w) ~ SIM(u,v) + SIM(v,w). 5 for arbitrary u, v. 22) makes problems, too. 5 for arbitrary u, v.
72. S. G. Wee. Wastewater treatment systems from case-based reasoning. Machine Learning, 10(3):341-363,1993. 73. T. Karamouzis and S. Feycock, An integration of case-based and modeI- based reasoning and its application to physical system faults, in E Belli and EJ. Radermacher (eds), IENAIE 92: Industrial and Engineering Applications of Artificial Intelligence and Expert Systems: Proceedings of the Fifth International Conference, Paderbom, Germany, June 9-121992, pp. 100-108. Springer, Berlin, 1992.
38. M. Kriegsman and R. Barletta, Building a case-based help desk application. IEEE Expert, 8(6):18-26, 1993. 39. L. Lewis, A case-based reasoning approach to the management of faults in communications networks, in IEEE INFOCOM '93: Proceedings ofthe Conference on Computer Communications. Twelfth Annual Joint Conference of the IEEE Computer and Communications Societies. Networking: Foundationfor the Future, San Francisco, CA, 28 March-l April, 1993, Vol. 3, pp. 1422-1429. IEEE Computer and Communications Societies, IEEE Computer Society Press, 1993.