In:
International Journal of Neural Systems, World Scientific Pub Co Pte Ltd, Vol. 21, No. 04 ( 2011-08), p. 277-296
Abstract:
During the last years there has been a growing need of developing innovative tools that can help small to medium sized enterprises to predict business failure as well as financial crisis. In this study we present a novel hybrid intelligent system aimed at monitoring the modus operandi of the companies and predicting possible failures. This system is implemented by means of a neural-based multi-agent system that models the different actors of the companies as agents. The core of the multi-agent system is a type of agent that incorporates a case-based reasoning system and automates the business control process and failure prediction. The stages of the case-based reasoning system are implemented by means of web services: the retrieval stage uses an innovative weighted voting summarization of self-organizing maps ensembles-based method and the reuse stage is implemented by means of a radial basis function neural network. An initial prototype was developed and the results obtained related to small and medium enterprises in a real scenario are presented.
Type of Medium:
Online Resource
ISSN:
0129-0657
,
1793-6462
DOI:
10.1142/S0129065711002833
Language:
English
Publisher:
World Scientific Pub Co Pte Ltd
Publication Date:
2011
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