Intelligent warehousing management systems using multi-agent
International Journal of Computer Applications in Technology
A knowledge hierarchy model for adaptive multi-agent systems
International Journal of Computer Applications in Technology
Application of the multi-agent approach in just-in-time production control system
International Journal of Computer Applications in Technology
Data Fusion Framework: concurrent architecture for real-time processing
International Journal of Information and Communication Technology
Automated Trace Analysis of Discrete-Event System Models
IEEE Transactions on Software Engineering
Task Assigning and Data Gathering for Post Defined Complex Events in Data Centric Sensor Networks
ITCS '09 Proceedings of the 2009 International Conference on Information Technology and Computer Science - Volume 02
Context-aware agents in cooperative design environment
International Journal of Computer Applications in Technology
An enhanced classifier fusion model for classifying biomedical data
International Journal of Computational Vision and Robotics
A high computational power wireless sensor network for distributed structural health monitoring
International Journal of Sensor Networks
Research on a multi-agent based group awareness model
International Journal of Wireless and Mobile Computing
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In data fusion systems, the characteristics of the information from the sensors include diversity, complexity and uncertainty. In this paper, the data fusion of the granular computing-based multi-layer structure is studied. Neural network and fuzzy system are adopted for the inference mechanism to construct an equivalent fuzzy logic system. Neural network clustering is used to cluster the concept lattices with different formal contexts. And in each concept lattice, fuzzy clustering is used to cluster the formal contexts. The design of the data fusion middleware in the multi-agent system MAS enables the two-step data fusion. This design is used to solve the issues caused by the imprecise, incomplete, fuzzy or contradictory inference. Simulation results on the fire detection in the intelligent building environment show the effectiveness and the feasibility of this design.