Multi-agent neural business control system

被引：15

作者：

Lourdes Borrajo, M. ^{[2
]}

Corchado, Juan M. ^{[1
]}

Corchado, Emilio S. ^{[3
]}

Pellicer, Maria A. ^{[3
]}

Bajo, Javier ^{[1
]}

机构：

[1] Univ Salamanca, Dept Informat & Automat, E-37008 Salamanca, Spain

[2] Univ Vigo, Dept Informat, Escuela Super Ingn Informat, Orense 32004, Spain

[3] Univ Burgos, Dept Ingn Civil, Esc Politecn Super, Burgos 09006, Spain

来源：

INFORMATION SCIENCES | 2010年 / 180卷 / 06期

关键词：

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

D O I：

10.1016/j.ins.2009.11.028

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. and the results obtained have been very satisfactory (C) 2009 Elsevier Inc. All rights reserved.

引用

页码：911 / 927

页数：17

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