An Intelligent System in Healthcare using Fuzzy Measures

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Wagholikar, Amol S
Jo, Jun
Griffith University Author(s)
Year published
2008
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Abstract
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 ...
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Conference Title
2008 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM AND KNOWLEDGE ENGINEERING, VOLS 1 AND 2
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© 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Subject
Primary Health Care
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