“…As a result of activating the conclusions of fuzzy production rules at the output of the expert system, one can obtain the corrective factor k i for each edge of the graph that characterizes the transport and logistics infrastructure. The mechanism for obtaining a fuzzy inference is based on information of various origin, in particular experimental data, simulation results and expert opinions, which are presented in the form of fuzzy production rules R (j) : 1) : IF bad road conditions AND great urgency THEN w 1 = 1,5 -0,05х 1 -0,02х 2 ; R (2) : IF satisfactory road condition AND great urgency THEN w 2 = 1,4 -0,04х 1 -0,025х 2 ; R (3) : IF good road conditions AND great urgency THEN w 3 = 1,2 -0,02х 1 -0,035х 2 ; R (4) : IF bad road conditions AND little urgency THEN w 4 = 1,3 -0,025х 1 -0,055х 2 ; R (5) : IF satisfactory road conditions AND little urgency THEN w 5 = 1,2 -0,02х 1 -0,05х 2 ; R (6) : IF good road conditions AND little urgency THEN w 6 = 1,1 -0,01х 1 -0,04х 2 ; R (7) : IF bad road conditions AND high level of caution THEN w 7 = 1,4 -0,04х 1 + 0,03х 3 ; R (8) : IF satisfactory road conditions AND high level of caution THEN w 8 = 1,04 -0,04х 1 + 0,02х 3 ; R (9) : IF good road conditions AND high level of caution THEN w 9 = 1 -0,025х 1 + 0,01х 3 ; R (10) : IF bad road conditions AND low level of caution THEN w 10 = 1,2 -0,05х 1 + 0,04х 3 ; R (11) : IF satisfactory road conditions AND low level of caution THEN w 11 = 1,1 -0,03х 1 +0,02х 3 ; R (12) : IF good road conditions AND low level of caution THEN w 12 = 1 -0,04х 1 +0,02х 3 .…”