Reasoning and decision making for autonomous UAVs based on weighted fuzzy petri nets

This paper is dealt with autonomous reasoning and decision-making for unmanned aerial vehicles (UAVs) executing the search and attack mission. There exists the fact in the above reasoning envision that each input proposition does different contribution to the conclusion of the rule, and so the formalized reasoning method based on weighted fuzzy Petri nets (WFPN) is studied. The weighted fuzzy production rule set about two UAVs cooperating in search and attack mission is designed. The formalized reasoning method based on WFPN is further improved to adapt to the situation that the output propositions of several rules are the same in the above rule set. Applied the layered strategy, the improved formalized reasoning method is simulated based on the designed rule set. The simulation shows that the reasoning results are reasonable and the dimension of the large reasoning matrix is reduced efficiently.