Intelligent Search Mechanism Based on Neuro-Fuzzy System for the Distributed Object Groups

Current research in distributed systems focuses on object group models which are designed for scalable systems and provide accessible objects to the entire group. However, dynamic grouping using knowledge extraction from group of objects is not considered which provides accurate search for appropriate objects. In this paper, an integration of intelligent models in distributed object groups is presented in intelligent distributed framework. This paper proposes a locator service for the framework which implements the intelligent search mechanism based on neuro-fuzzy system. To have an accurate search of objects, the fuzzy system of the locator service is trained using the neuron-fuzzy algorithm. The proposed method is compared to other methods in accuracy of classification and result shows that it outperformed other algorithm based on processing time and accuracy.

• Type: Conference
• Year: 2007
• Where: IPC
• Authors: Romeo Mark A. Mateo, Bobby D. Gerardo, Jaewan Lee
• Keywords: Accurate Search, Applied Computing, Intelligent Distributed Framework, IPC 2007, Object Groups