A Multiagent System For Web-Based Risk Management in Small and Medium Business
- 543 Downloads
Business Intelligence has gained relevance during the last years to improve business decision making. However, there is still a growing need of developing innovative tools that can help small to medium sized enterprises to predict risky situations and manage inefficient activities. This article present a multiagent system especially conceived to detect risky situations and provide recommendations to the internal auditors of SMEs. The core of the multiagent system is a type of agent with advanced capacities for reasoning to make predictions based on previous experiences. This agent type is used to implement an evaluator agent specialized in detect risky situations and an advisor agent aimed at providing decision support facilities. Both agents incorporate innovative techniques in the stages of the CBR system. An initial prototype was developed and the results obtained related to small and medium enterprises in a real scenario are presented.
KeywordsHybrid neural intelligent system CBR MAS Business Intelligence business risk prediction
Unable to display preview. Download preview PDF.
- 8.Colbert, J.L.: Risk. Internal Auditor, 36–40 (1995)Google Scholar
- 9.Committee of Sponsoring Organizations of the Treadway Commission (COSO), Guidance on Monitoring Internal Control Systems (COSO’s Monitoring Guidance) (2009)Google Scholar
- 12.Dellaert, F.: The Expectation Maximization Algorithm, Technical Report. Georgia Institute of Technology (2002)Google Scholar
- 16.Kolodner, J.: Case-Based Reasoning. Morgan Kaufmann, San Francisco (1993)Google Scholar
- 19.Li, H., Sun, J.: On performance of case-based reasoning in Chinese business failure prediction from sensitivity, specificity, positive and negative values. Applied Soft Computing (in Press)Google Scholar
- 20.Li, H., Huang, H.B., Sun, J.: On sensitivity of case-based reasoning to optimal feature subsets in business failure prediction. Expert Systems with Applications (in Press)Google Scholar
- 23.Ramamoorti, S., Bailey, A.D., Traver, R.O.: Risk assessment in internal auditing: a neural network approach. Int. J. IntellSyst. Account Finance Manage (8), 159–180 (1999)Google Scholar
- 24.Risk and Insurance Management Society, Inc., Financial Crisis- A Wake up call for Enterprise Risk Management (2008)Google Scholar