证据理论的随机集表示

Representation of Evidence Theory by Random Sets

证据理论是由Ｄｅｍｐｓｔｅｒ和Ｓｈａｆｅｒ于６０－７０年代提出的一种不确定推理方法，在人工智能中有着重要的应用价值。本文利用随机集为工具，给出证据理论的随机集表示，得到了证据理论中ｍａｓｓ函数的计算方法及Ｄｅｍｐ－ｓｔｅｒ－Ｓｈａｆｅｒ合成公式。

Evidence theory is a uncertain inference method by Dempster and Shafer , which hasimportance application in artificial intelligence. In the paper, Representation of evidencetheory by random sets is given,and computing methods of mass function and Combina-tion formula in evidence theory are abtain.