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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7161875
