Temporal analysis of infectious diseases: influenza
Proceedings of the 2005 ACM symposium on Applied computing
The normal parameter reduction of soft sets and its algorithm
Computers & Mathematics with Applications
The parameterization reduction of soft sets and its applications
Computers & Mathematics with Applications
A general definition of an attribute reduct
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
The Position of Rough Set in Soft Set: A Topological Approach
International Journal of Applied Metaheuristic Computing
MAR: Maximum Attribute Relative of soft set for clustering attribute selection
Knowledge-Based Systems
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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.