| 摘要: |
| 如何描述证据理论中信任函数的动态变化是一个很重要的研究课题，证据函数的限定化概念在刻画这种动态变化方面具有重要用途．本文比较了限定化概念的2种定义方式．指出了Kruse 等人在他们的著作“uncertainty and Vagueness in Knowledge BaSed systems”中出现的错误．并给出了该书的定理6.10和定理6.11的正确证明．最后利用限定化的概念,讨论了引起信任函数动态变化的3种条件规则之间的关系． |
| 关键词: 证据理论，随机集合，限定化,信任值修正，信任值更新，信任值集中． |
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| 基金项目:本文研究得到国家教委博士点基金项目、国家自然科学基金项目和国家863高科技项目的资助. |
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| THE SPECIALIZATION OF EVIDENCE FUNCTIONS |
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Liu Dayou,Li Yuefeng,Tang Haiying
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| Abstract: |
| How to describe the dynamic process of belief functions in the Dempster—Sharer theory is a very important research field．The specialization of evidence functions is a kind of important method to express the dynamic process．In this paper，the authors dis-CUSS two different definitions for the specialization，correct Kruse'S mistakes in his book“Uncertainty and Vagueness in Knowledge Based Systems”and prove theorems 6.10 and 6.11 in the book by using adverse orders．At last，based specialization，the authors discuss some relationships among three kinds of condition rules which lead to dynamic pro-CeSS of belief functions． |
| Key words: The evidence theory,random set,specialization,belief revision,belief updating,belief focusing． |
