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In this article, a new Takagi-Sugeno-Kang (TSK) model was developed for neutrosophic environments based on existing the fuzzy TSK models. The developed model establishes inference relations based on past experiences or data and offers a new solution with IF-THEN rules for future events. In this direction, the neutrosophic TSK model was created using non-linear systems and made more effective by using t and s norms in its solutions. In addition, this model is defined for n−input systems and finally an example application is given in non-linear systems with relationship between energy consumption and heating time to demonstrate the applicability of the two-input model.