Optimal Translation Sequence of Rough Communication Based on Information Measure

In this paper, from the point of view of information measure, the optimal problems of translation sequence of rough communication are studied. In rough communication, because each agent has a different language and can not provide precise communication to each other, the concept translated among multi-agents will loss some information. By means of the concepts of information fidelity and information distortion, optimal translation sequences (the maximum fidelity and the minimum ditortion) based on information measure are given, and those corresponding mathematical models are established. Finally, the maximum fidelity (the minimum ditortion) translation sequence of rough communication given in this paper, the global optimal translation sequence, and the result optimal translation sequence are contrasted and analysed in some examples.