Multi-agent neural business control system

作者：Lourdes Borrajo M; Corchado Juan M; Corchado Emilio S; Pellicer Maria A; Bajo Javier^*

来源：Information Sciences, 2010, 180(6): 911-927.

DOI：10.1016/j.ins.2009.11.028

• Agents technology
• Business control system
• Case-based reasoning
• Maximum Likelihood Hebbian Learning
• Reasoning
• Experience management

Small to medium sized companies require a business control mechanism in order to monitor their modus operandi and analyse whether they are achieving their goals. A tool for the decision Support process was developed based on a multi-agent system that incorporates a case-based reasoning system and automates the business control process. The case-based reasoning system automates the organization of cases and the retrieval stage by means of a Maximum Likelihood Hebbian Learning-based method, an extension of the Principal Component Analysis which groups similar cases by automatically identifying clusters in a data set in an unsupervised mode The multi-agent system was tested with 22 small and medium sized companies in the textile sector located in the northwest of Spain during 29 months.

• 出版日期2010-3-15