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Soft decision making for patients suspected influenza

Herawan, Tutut and Mat Deris, Mustafa (2010) Soft decision making for patients suspected influenza. In: International Conference, 23-26 March 2010, Fukuoka, Japan. (Unpublished)

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Computational models of the artificial intelligence such as soft set theory have several applications. Parameterization reduction under soft set theory can be considered as a technique for medical decision making. One possible application is the decision making of patients suspected influenza. In this paper, we present the applicability of soft set theory for decision making of patients suspected influenza. The proposed technique is based on maximal supported objects by parameters. At this stage of the research, results are presented and discussed from a qualitative point of view against recent soft decision making techniques through an artificial dataset.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: decision making; influenza artificial dataset; soft set theory
Subjects: Q Science > QA Mathematics > QA76 Computer software
Depositing User: Normajihan Abd. Rahman
Date Deposited: 13 Aug 2018 03:40
Last Modified: 13 Aug 2018 03:40
URI: http://eprints.uthm.edu.my/id/eprint/3731
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