This paper proposed a novel adaptive neuro-fuzzy inference system (ANFIS), which combines subtract clustering,
employs adaptive Hamacher T-norm and improves the prediction ability of ANFIS. The expression of multi-input
Hamacher T-norm and its relative feather has been originally given, which supports the operation of the proposed system.
Empirical study has testified that the proposed model overweighs early work in the aspect of benchmark Box-Jenkins
dataset and may provide a practical way to measure the importance of each rule.