A life style disease examination model based on rough set and fuzzy reasoning
YU Xia
LI Tie-xin
YU Wei
YU Qiao
SU Liang
DUAN Yong
Abstract：In order to obtain useful knowledge from a large amount of medical data,form the rules and make the correct reasoning,a model based on rough set and distance-type fuzzy reasoning was proposed to examine the life style disease.The improved dependency attribute reduction algorithm was used to perform the attribute reduction, remove unnecessary attributes, reduce the rule base size and improve the classification efficiency and accuracy of rough set knowledge discovery method in the medical and health data.The distance-type fuzzy reasoning method was used to match the existing rules in the knowledge base, calculate the distance between the rules and given fact for reasoning detection,and establish the detection system of distance-type fuzzy reasoning.The construction process of knowledge base was described with the experimental data,and the validity of the model was verified.
Keywords：rough setattribute reductiondistance-type fuzzy reasoningseparation principlelifestyle diseasedisease examinationrule extractionrule base
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 537-544 )