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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: ICCSA'10: Proceedings of the 2010 international conference on Computational Science and Its Applications.

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Abstract

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
Divisions: Faculty of Computer Science and Information Technology > Department of Software Engineering
Depositing User: Normajihan Abd. Rahman
Date Deposited: 15 Nov 2015 07:50
Last Modified: 15 Nov 2015 07:50
URI: http://eprints.uthm.edu.my/id/eprint/3593
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