Linguistic recognition system for identification of some possible genes mediating the development of lung adenocarcinoma

In the present article, we develop a linguistic recognition system for identification of some possible genes mediating the development of human lung adenocarcinoma. The methodology involves dimensionality reduction, classifying the genes through incorporation of the notion of linguistic fuzzy sets low, medium and high, and finally selection of some possible genes obtained by a rule generation/grouping technique. The system has been successfully applied on two microarray gene expression data sets. The results are appropriately validated by some earlier investigations, gene expression profiles and t-test. The proposed methodology has been able to find more true positives than an existing one in identifying responsible genes. Moreover, we have found some new genes that may have role in mediating the development of lung adenocarcinoma.