Application of the Fuzzy Modeling for Optimization of Transport Routes

The expert system of the fuzzy inference of the Sugeno's type with three inputs and one output for the choice of optimal routes of the transport network is proposed in the work. The developed system involves the formation of a fuzzy production rules base, the fuzzification of the values of the input parameters, the aggregation of the truth of the sub-conditions of each rule, activating the conclusions and defuzzification the output variable. An algorithm for finding quantitative values of coefficients that corrects the weight of the edges of the graph in optimization problems under conditions of approximate input data is implemented. In particular, the proposed model takes into account the condition of the road surface, the urgency of delivery and the caution of transportation of cargoes during the formation of transport routes, which allows minimizing costs and improving the efficiency of the logistics system.