A complex case-based advisor

Applied Artificial Intelligence

Volumn 22, Issue 5, 2008, Pages 377-406

  Borrajo, M Lourdes ^a   Laza, Rosalía ^a   Corchado, Juan M ^b  

^a UNIVERSITY OF VIGO   (Spain)

^b UNIVERSITY OF SALAMANCA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; DECISION SUPPORT SYSTEMS; INDUSTRY; NEURAL NETWORKS; OCCUPATIONAL RISKS; RISK PERCEPTION; TEXTILE PROCESSING;

(ALGORITHMIC) COMPLEXITY; (E ,3E) PROCESS; CASE BASED REASONING (CBR) SYSTEMS; CONSTRUCT MODELS; DECISION SUPPORT PROCESS; DEVELOPED MODEL; INTERNAL AUDITING; INTERNAL CONTROLS; MEDIUM SIZED COMPANIES; ORGANIZATION SYSTEMS; SMALL AND MEDIUM SIZED ENTERPRISE (SME); SOLVING METHOD; TEXTILE SECTORS;

CASE BASED REASONING;

EID: 46149089692     PISSN: 08839514     EISSN: 10876545     Source Type: Journal    
DOI: 10.1080/08839510701881441     Document Type: Article

References (26)

1. Aamodt, A. and E. Plaza. 1994. Case-based reasoning: Foundational issues, methodological variations, and system approaches. AICOM 7.
2. American Institute of Certified Public Accountants (AICPA). 1996. Statements on Auditing Standards No. 78 (SAS No. 78). New York: The Auditing Standards Executive Committee.
3. Barba-Romero, S. and J. Pomeral. 1997. Multicriteria decisions. Theoretical foundations and practical use. Collection of economy. Ed. University of Alcalá.
4. Borrajo, L. 2003. Intelligent hybrid system applied to internal audit systems. PhD Thesis. University of Vigo (Spain). ISBN: 84-8158-274-3. December, 2003.
5. Borrajo, L., J. M. Corchado, J. C. Yáñez, F. Fdez-Riverola, and F Díaz. 2005. Autonomous internal control system for small to medium firms. LNCS Volume 3620. Germany: Springer-Verlag.
6. Corchado, J. M., L. Borrajo, M. A. Pellicer, and J. C. Yáñez. 2004. Neuro-symbolic system for business internal control. LNCS Volume 3275. Germany: Springer-Verlag.
7. Denna, E. L., J. V. Hansen, and R. Meservy. 1991. Development and application of expert systems in audit services. IEEE Transactions on Knowledge and DNA Engineering 3:172-184.
8. Fdez-Riverola, F., J. M. Corchado, and J. Torres. 2002. An Automated Hybrid CBR System for Forecasting. Advances in Case-Based Reasoning. S. Craw and A. Preece, eds. Germany: Springer.
9. Gardingen, D., and I. Watson. 1998. A web-based case-based reasoning system for HVAC sales support. In: Applications & Innovations in Expert Systems VI, eds. R. Milne, A Macintosh, and M. Bramer, pp. 11-23. London: Springer.
10. Hunt, J. and R. Miles. 1994. Hybrid case-based reasoning. The Knowledge Engineering Review. 9:383-397.
11. Köhle, M., and D. Merkl. 1996. Visualizing similarities in high dimensional, input spaces with a growing and splitting neural network. In: Proceedings of International Conference of Artificial Neural Networks, ICANN-96, 581-586, Bochum, Germany.
12. Kohonen, T. 2001. Self-Organizing Maps, 3rd Extended Ed. Berlín, Heidelberg: Springer.
13. Kolodner, J. 1993. Case-Based Reasoning. San Mateo. CA Morgan Kaufmann.
14. Laza, R, R. Pavón, andJ. M. Corchado. 2004. A reasoning model for CBR-BDI agents using an adaptable fuzzy inference system. Lecture Notes in Artificial Intelligence 3040, 96-106, Germany: Springer.
15. Lenz M., B. Bartsch-Spörl, D. Burkhard, and S. Wees. eds. 1998. Case-based reasoning technology: From fundations to applications. LNAI1400, Springer Verlag.
16. Manly Bryan, F. J. 1994. Multivariate Statistical Methods. Germany: USA: Chapman & Hall.
17. Mas, J. and C. Ramió. 1997. The operative audit in the practice. Barcelona, Spain: Ed. Marcombo.
18. Medsker, L. R. 1995. Hybrid Intelligent Systems. USA: Kluwer Academic Publishers. 19 Messier, W F andJ. V Hansen. 1988. Inducing rules for expert systems development: An example using default and bankruptcy data. Management Science 34:1403-1415.
19. Nauck D., F. Klawonn, and R Kruse. 1997. Foundations of Neuro-Fuzzy Systems. USA: John Wiley & Sons.
20. Riesbeck, C. K and R. C. Schank, 1989. Inside Case-Based Reasoning. Hillsdale, NJ: Lawrence Erlbaum Associates.
21. Romero, C. 1993. Multicriteria decision theory: Concepts, techniques and applications. Alianza Editorial. ISBN: 84-206-8144-x.
22. Sánchez, A. 1995. The expert systems in the accounting. Biblioteca Electronica de Contabilidad, 1.
23. Warwick, K. 1995. An overview of neural networks in control applications. In: Neura Networks in Robotic Control: Theory and Application, eds. A. S. Morris, and A. Zalzala, Ellis Horwood.
24. Wasserman, P. D. 1993. Advanced Methods in Neural Computing. Germany: Van Nostrand Reinhold.
25. Watson I. 1997. Applying Case-Based Reasoning: Techniques for Enterprise Systems. USA: Morgan Kaufmann.
26. Watson, I. and F Marir. 1994. Case-based reasoning: A review. The Knowledge Engineering Review 9:355-381.