DocumentCode
1829298
Title
Incorporating Game-Theoretic Rough Sets in Web-Based Medical Decision Support Systems
Author
JingTao Yao ; Azam, Nouman
Author_Institution
Dept. of Comput. Sci., Univ. of Regina, Regina, SK, Canada
Volume
2
fYear
2013
fDate
4-7 Dec. 2013
Firstpage
335
Lastpage
338
Abstract
Web-based support systems (WSS) assist human activities with the modern Web technology. An important branch of WSS is Web-based decision support systems that provide intelligent support for decision making tasks. We focus on decision making in Web-based medical decision support systems (WMDSS) that can provide support for making diagnosis and treatment decisions. The use of game-theoretic rough set (GTRS) component in WMDSS is explored and investigated for this purpose. The GTRS is a recent development in rough sets that takes advantages from data analysis capabilities of rough sets complimented with decision analysis abilities of game theory. The GTRS may be used to obtain rough sets based three-way or ternary decisions by determining a pair of threshold values. Demonstrative example suggests that the GTRS may be considered as an alternative decision making model and component in building WMDSS for providing decision support.
Keywords
Internet; data analysis; decision support systems; game theory; medical computing; rough set theory; GTRS component; WMDSS; WSS; Web technology; Web-based medical decision support systems; data analysis capabilities; decision analysis abilities; decision making model; diagnosis decision making; game-theoretic rough sets; intelligent support; treatment decision making; Databases; Decision making; Decision support systems; Games; Medical diagnostic imaging; Probabilistic logic; Rough sets; Game-thoeretic rough sets; decision support; probabilistic rough sets; rough sets; web-based support systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Applications (ICMLA), 2013 12th International Conference on
Conference_Location
Miami, FL
Type
conf
DOI
10.1109/ICMLA.2013.190
Filename
6786131
Link To Document