A Multiagent System For Web-Based Risk Management in Small and Medium Business

  • Juan F. De Paz
  • Javier Bajo
  • M. Lourdes Borrajo
  • Juan M. Corchado
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 89)

Abstract

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.

Keywords

Hybrid neural intelligent system CBR MAS Business Intelligence business risk prediction 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Juan F. De Paz
    • 3
  • Javier Bajo
    • 1
  • M. Lourdes Borrajo
    • 2
  • Juan M. Corchado
    • 3
  1. 1.Facultad de Informática.Universidad Pontificia de SalamancaSalamancaSpain
  2. 2.Dept. InformáticaUniversity of Vigo, Edificio PolitécnicoOurenseSpain
  3. 3.Departamento Informática y AutomáticaUniversity of SalamancaSalamancaSpain

Personalised recommendations