DocumentCode
3206666
Title
Application of association rules based on fuzzy formal concept analysis
Author
Jianbo Liu ; Xiaomin Wang ; Yanyan Zhang ; Hongbo Feng
Author_Institution
Sch. of Math. & Stat., Northeastern Univ. at Qinhuangdao, Qinhuangdao, China
fYear
2015
fDate
23-25 May 2015
Firstpage
5953
Lastpage
5957
Abstract
Through the investigation of many symptoms of rheum, we classify the symptoms, with the method of fuzzy formal concept analysis, to find the decisive symptom to diagnosis the rheum. Moreover, Association Rule is used to simplify the data. Finally it is proved that only two symptoms are most effective ones to diagnosis the rheum, which provides a new basis for artificial intelligence diagnostics.
Keywords
data mining; diagnostic expert systems; diseases; formal concept analysis; fuzzy set theory; medical computing; patient diagnosis; pattern classification; artificial intelligence diagnostics; association rule; decisive symptom; fuzzy formal concept analysis; rheum diagnosis; rheum symptoms; symptoms classification; Artificial intelligence; Association rules; Electronic mail; Formal concept analysis; Lattices; Rocks; Association Rule; Fuzzy Concept Lattice; Fuzzy Formal Concept Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location
Qingdao
Print_ISBN
978-1-4799-7016-2
Type
conf
DOI
10.1109/CCDC.2015.7161875
Filename
7161875
Link To Document