An Intelligent System in Healthcare using Fuzzy Measures
Aggregation plays a central role in human thought.There is aneed to develop better data aggregation mechanisms invarious real-life applications involving intelligent systems.Application of fuzzy measures and fuzzy integrals is asignificant development in this pursuit.However,there arecertain issues associated with practical implementation offuzzy measures.This work proposes an approach to resolvethose issues using similarity-based reasoning.Application offuzzy measures in healthcare applications is an interestingdevelopment in the area of intelligent systems.This paper alsodiscusses application of fuzzy measures in modern health careapplications using the proposed approach.This workdemonstrates the suitability of fuzzy measures in criticalhealth care systems.
Amol S.Wagholikar Jun Jo
School of Communication and Information Technology Griffith University Gold Coast,Queensland,Australia
国际会议
厦门
英文
446-449
2008-11-17（万方平台首次上网日期，不代表论文的发表时间）