Authors

1. Rajendra M. Sonar

Affiliation

• Assistant Professor (IT), SJM School of Management, Indian Institute of Technology Bombay, Powai, Mumbai

Abstract

With the advent of Web-based technology, the traditional decision support systems and intelligent systems need to be webbased so that the decision makers can access and use it using simple thin client browsers over the Internet/Intranet. This environment facilitates centralized decision making environment. Instead of solving a problem using a single intelligent technique (like expert system, neural network, case-based reasoning) alone, these techniques can be integrated to reduce their weaknesses, increase the strengths and solve complex tasks. Integration of analytical tools and intelligent systems further makes it powerful combination of knowledge and mathematical modeling. In this paper we describe the framework, which has advantages of using latest web-based plat-form, open XML technology and power of knowledgebased decision support systems. We describe how organizations like banks can make use of and benefit from such kind of framework and environment to transform themselves from traditional banks to knowledge-based and smart banks.

Keywords

XML, intelligent technique

References

1. Zopounidis,C., Doumpos, M. & Matsatsinis, N.F.(1997). On the use of knowledge-based decision support in financial management: A Survey. Decision Support Systems. 20, pp 259-277.
2. Turban Efraim & Aronson, J. (2001), Decision Support Systems and Intelligent Systems, Pearson Education Asia.
3. Trippi Robert & Turban Efraim (1993), Neural Networks in Investing and Finance, IRWIN Professional Publications.
4. Sonar R.M. (2004). A Web-based Hybrid Expert System Framework, Intelligent Systems and Control, Ed. M.H.Hamza, ACTA Press, 2004, pp 254-259.
5. Sonar, R. M. & Saha A, An integration framework to develop modular hybrid intelligent systems. Frontiers in Artificial Intelligence and Applications: Vol 69, 1499- 1506, IOS Press, Ohmsha, 2001.
6. Shaw M. & Gentry J (1988). Using an Expert System with Inductive Learning to Evaluate Business Loans, Financial Management, pp 45-56.
7. Ruparel Bharat and Srinivasan Venkat (1992), A dedicated shell for designing expert credit support systems, Decision Support Systems, 8, Pages 343-359.
8. Prentzas Jim & Hatzilygeroudis Ioannis (2004), Integrating (rules, neural networks) and cases for knowledge presentations and reasoning in expert systems, Expert Systems with Applications, Vol 27(1), pp 63- 75.
9. Pau, L.F., Motiwalla J., Pao Y.H. & Teh H.H. (1989). Expert Systems in Economics, Banking and Management, North-Holland.
10. Pau, L.F. & Gianotti, C. (1990). Economic and Financial Knowledge-based Processing. Springer-Verlag.
11. Nikbakht Eshan & Tafti M.H.A. (1989), Applications of expert systems in evaluation of credit card borrowers, Managerial Finance, vol. 15, no. 5, pp. 19-27.
12. Nedovic L. & Devedzic V. (2002) Expert systems in Finance-A cross-section of the field. Expert Systems with applications.
13. Medsker, L. (1995). Hybrid Intelligent Systems, Kluwer Academic Publishers, Boston.
14. Kolodner, J. (1993). Case-Based Reasoning. Morgan Kaufmann
15. Goonatilake, S. & Treleaven, P. (1995). Intelligent Systems for Finance and Business, John Wiley and Sons, pp 1-28.
16. Goonatilake, S. & Khebbal, S. (1995). Intelligent Hybrid Systems, John Wiley and Sons.
17. Humpert, B. & Holley, P. (1988). Expert systems in finance planning. Expert Systems. 5(2). Pp 78-117.
18. Talebzadeh, H.,Mandutianu, S & Winner C (1995), Countrywise Loan Underwriting System, AI Magazine, Spring 1995, pp 51-64.
19. Hilario, M, Pellegrini, C & Alexandre (1994), Modular integration of connectionist and symbolic processing in knowledge-based systems. International Symposium on Integrating Knowledge and Neural Hueristics, ensacola, Florida, 123-132.
20. Duthie Andrew (2003), Microsoft® ASP.NET Programming with Microsoft Visual C#® .NET Version 2003 Step By Step.
21. Duschessi P, Shawky H & Seagle J.P., A Knowledge- Engineered System for Commercial Loan Decisions, Financial Management. Special Issue on Expert Systems, Vol. 17, No. 3, 1988
22. Chorafas, Dimitris N. Steinman, Heinrich (1990), Expert Systems In Banking, Macmillan Press Ltd.
23. Expert Systems with Applications, Vol 9 No 4, pp 457- 468.
24. Sangster Alan (1995), The Bank of Scotland’s COMPASS-The future of Bank Lending?