Disease - Related Gene Identification by an Improved Type - 2 Fuzzy Method on Microarrays
Dept. of Mathematics and Physics , Uni versity of Science and Technology Beijing , Beijing,100083 - China, D Q Wang, Yanfei Wang · Journal of Engineering Science and Technology Review · 2013
Type-2 fuzzy set can control the uncertainty information more effectively than conventional type-1 fuzzy set because its membership function is three-dimensional.In this paper we perform the identification of disease-related genes based on DNA microarray by type-2 fuzzy set theory and established type-2 fuzzy membership function to describe the differences of the gene expression values generated form normal people's genes and patient's.We also make a comparison between our type-2 fuzzy method with the traditional fuzzy method.The results suggest the type-2 FM-d values are significantly different, which make the identifications more reasonable and convincing than the original one.