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In this study, designed an intelligent model for liver disorders based on Fuzzy Neural System (FNS) models is considered. For this purpose, fuzzy system and neural networks (FNS) are explored for the detection of liver disorders. The structure and learning algorithm of the FNS are described. In this study, we utilized dataset extracted from a renowned machine learning data base (UCI) repository. 10 folds crossvalidation approach was explored for the design of the system. The designed algorithmdoi:10.14569/ijacsa.2017.081204 fatcat:imrq3vmmgbamzfyolnzue5c6cy