Decision Allocation of Formation Command and Control System

In order to adequately exert the decision advantages of commander and automation, we need to do decision allocation between them during the design process of manned/unmanned aerial vehicle formation command and control system. The decision allocation process was proposed. For the property values are hard to accurately estimate, we use Uncertain Linguistic Multiple Attribute Decision Making (ULMADM) method to aggregate the property values. Uncertain extended weighted arithmetic averaging (UEWAA) operator is used to determine the range of automation level. A group decision making method combined with UEWAA operator and uncertain linguistic hybrid aggregation (ULHA) operator is used to determine the automation level. Simulation result indicates the method is feasible and effective in decision allocation.

I. Introduction

Decision allocation is the decision-makin¥ function allocation of human/machine intelligent system^[1]. With the technology development of computer, artificial intelligence and automation, the autonomous level of unmanned aerial vehicle (UAV) and other intelligent system is continuously growing. According the environment information, they can take optimal action after decision-making. Function allocation of decision layer has become an important research aspect of human/machine system. In the manned/unmanned aerial vehicle formation cooperative engagement field, decision allocation reasonably allocates the decision-making function of command and control (C2) system between commander and automation.