An Intelligent Agent System using Multi-View Information Fusion

In this paper, we design an intelligent agent system with the data mining module and information fusion module as the core components of the system and investigate the possibility for the medical expert system. In the data mining module, fuzzy neural network, OFUN-NET analyzes multi-view data and produces fuzzy cluster knowledge base. In the information fusion module and application module, they serve the diagnosis result with possibility degree and useful information for diagnosis, such as uncertainty decision status or detection of asymmetry. We also present the experiment results on the BI-RADS-based feature data set selected form DDSM benchmark database. They show higher classification accuracy than conventional methods and the feasibility of the system as a computer aided diagnosis system. ∙제1저자 : 이현숙 ∙교신저자 : 이현숙 ∙투고일 : 2014. 11. 5, 심사일 : 2014. 11. 12, 게재확정일 : 2014. 11. 18. *동양미래대학교 소프트웨어정보과(Dept. of Software Engineering, Dongyang Mirae University) ※ 본 논문은 동양미래대학교 2014학년도 교내 학술연구과제 지원사업에 의하여 연구되었음. 12 Journal of The Korea Society of Computer and Information December 2014 ▸