In a collaborative (distributed) Case-Based Reasoning (CBR) environment, an input query case could be compared with the old cases that are resided in many different CBR agents in the network. How to obtain the best solution effectively and efficiently from this distributed CBR network depends on a carefully designed query dispatching strategy. In this paper, we propose a fuzzy integral based approach to measure the competence of different CBR agents in the network and suggest three query dispatching policies which could be used to fulfill this task. They are: To-Top policy, Strong-Strong policy and Best-Committee policy. The experimental result shows that our proposed policies are comparatively better than the existing ones developed by Plaza and Ontañón.
|Number of pages||10|
|Publication status||Published - 1 Nov 2004|
- Collaborative case-based reasoning
- Fuzzy integral
- Query dispatching
ASJC Scopus subject areas
- Artificial Intelligence