Sun Yongyong
School of Computer Science and Engineering, Xi`an Technological University, Xi`an, China
ABSTRACT
Intelligent Decision Support System is a human-computer interaction information system and it can assist decision-maker to make right decision. In this study, Multi-Agent is used in Intelligent Decision Support System. In order to improve the traditional blackboard, blackboard control agent is proposed. It can decompose task and formal description of task decomposition and dependency between tasks are described. Furthermore, an effective attribute alternation algorithm is designed use of decision tree and rough set. The principles of the simplest decision tree is offered. The method is applicable for cooperative decision among agents and can help to complete complicated works in Multi-Agent System. Multi-Agent Intelligent Decision Support System based on can be used to solve large-scale complex problem.
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How to cite this article
Sun Yongyong, 2013. Decision Algorithm for Multi-Agent Intelligent Decision Support System based on Blackboard. Information Technology Journal, 12: 6235-6240.
DOI: 10.3923/itj.2013.6235.6240
URL: https://scialert.net/abstract/?doi=itj.2013.6235.6240
DOI: 10.3923/itj.2013.6235.6240
URL: https://scialert.net/abstract/?doi=itj.2013.6235.6240
REFERENCES
- Fei, H.X. and L. Hu, 2012. Combined rough set and decision tree method for intrusion detection. Comput. Eng. Appl., 48: 124-128.
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