Title :
Fuzzy Rough & Rough Fuzzy Inference Engines: for Medical Applications
Author :
Chandana, Sandeep ; Mayorga, Rene V.
Author_Institution :
Fac. of Eng., Regina Univ., Sask.
Abstract :
The proposed paper is an effort to summarize the concept, design-framework and implementation of an Intelligent System for preliminary Cancer diagnosis. The system is designed to act as a proactive intelligent decision support system. The key features are; it´s self learning capability through knowledge approximation, and an internal Rough Fuzzified structure. The 8 page long paper describes the underlying theory, basic concepts, design and implementation of the said system. Also detailed are some preliminary diagnosis results and interpretations.
Keywords :
cancer; decision support systems; fuzzy reasoning; fuzzy set theory; learning (artificial intelligence); medical diagnostic computing; rough set theory; cancer diagnosis; fuzzy inference engine; fuzzy rough set; intelligent decision support system; knowledge approximation; self learning capability; Biomedical equipment; Cancer; Decision support systems; Engines; Fuzzy systems; Intelligent systems; Medical diagnosis; Medical diagnostic imaging; Medical services; Rough sets; Decision Support System; Fuzzy Sets; Rough Sets;
Conference_Titel :
Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on
Conference_Location :
Ottawa, ON, Canada
Print_ISBN :
1-4244-0038-4
Electronic_ISBN :
1-4244-0038-4
DOI :
10.1109/CCECE.2006.277311
