The Anfis based route preference estimation in sea navigation

Abstract

This paper considers developing the ANFIS system based upon functional equivalence between the two-input first-order Takagi-Sugeno-Kang (TSK) fuzzy inference system and radial basis network (RBN). The input values are the linguistic qualifications related to the criteria: the wind strength and the traveling distance, in the long-ocean sailing zone, treated here since they are of up-most importance from the aspects of the traveling safety and efficiency. The output value is the degree of particular traveling direction preference. In the paper considered, hybrid neuro-fuzzy system, could be used as a theoretical support for developing the system with power of assistance in preferential sailing direction selection in long-ocean navigation.