关于证据理论中辨识框不同类型下的信息综合

Aggregation of Information at Different Types of Identification Frames in Evidential Theory

证据理论应用于多传感器（知识源）的信息综合时，辨识框（假设或命题空间）初始定义为有穷个穷举的不相容命题的集合。本文指出常用辨识框可分为符号集合型、有序命题集合型和实数闭区间型。并将证据理论信息综合原则扩展到辨识框为实数闭区间问题进行分析．

When applied evidential theory to aggregate the information from multi-sensors (multi-knowl edge sources),the identification frame(the hypothesis or statement space)is to be defined as a finite set of some exhaustive and mutually incompatible statements. This peper points out that usual identification flame has three types: symbol set,ordered statement set and closed interval of real number. Aggregation principle of information in evidential theory can expend to the closed interval of real number as an identification frame.