Abstract:

A variable precision rough set decision making method for situation assessment of unmanned combat aerial vehicle （UCAV）based on weighted similarity measurement, which can accomplish decision making rules matching, is put forward. A model of situation assessment decision making information system for UCAV is established. Based on the selecting principle of β, the method of choosing value of β is presented. The decision making rule is then obtained from the decision making system. The method of calculating attributes’ relative importance based on mutual information degree is put forward. Objective weights of attributes are presented according to the relative importance. Combined with expert experience, synthesized weights of attributes are then calculated. Finally, a weighted similarity measurement method based on the synthesized weights is developed, which could predict combat intent of one object by comparing similarity degrees between the object and other objects from the decision making system. Simulation results show that the method is propitious to UCAV’s situation assessment.