An intelligent system in healthcare using fuzzy measures

Aggregation plays a central role in human thought. There is a need to develop better data aggregation mechanisms in various real-life applications involving intelligent systems. Application of fuzzy measures and fuzzy integrals is a significant development in this pursuit. However, there are certain issues associated with practical implementation of fuzzy measures. This work proposes an approach to resolve those issues using similarity-based reasoning. Application of fuzzy measures in healthcare applications is an interesting development in the area of intelligent systems. This paper also discusses application of fuzzy measures in modern health care applications using the proposed approach. This work demonstrates the suitability of fuzzy measures in critical health care systems.