The Dempster-Shafer theory of evidence: an alternative approach to multicriteria decision modelling
The Dempster-Shafer theory of evidence: an alternative approach to multicriteria decision modelling
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DOI：
10.1016/s0305-0483(99)00033-x
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发表时间：
2000-02-01
影响因子：
6.9
通讯作者：
Morgan, P
中科院分区：
文献类型：
--
作者：
Beynon, M;Curry, B;Morgan, P
本文的目的是描述潜在的证据的Dempster-Shafer理论（DST）作为一个有前途的改进“传统”的决策分析方法。Dempster-Shafer技术起源于Dempster关于使用具有上界和下界的概率的工作。它们随后在人工智能（AI）和专家系统的文献中得到普及，特别强调结合来自不同来源的证据。在本文中，我们介绍了证据的DST的基本概念，简要地提到它的起源和比较与更传统的贝叶斯理论。在此之后，我们讨论了这一理论的最新发展，包括感兴趣的分析和应用领域。最后，我们讨论了通过使用一个例子，将DST与层次分析法（AHP）的发展。(C)2000爱思唯尔科技有限公司版权所有。
The objective of this paper is to describe the potential offered by the Dempster-Shafer theory (DST) of evidence as a promising improvement on "traditional" approaches to decision analysis. Dempster-Shafer techniques originated in the work of Dempster on the use of probabilities with upper and lower bounds. They have subsequently been popularised in the literature on Artificial Intelligence (AI) and Expert Systems, with particular emphasis placed on combining evidence from different sources. In the paper we introduce the basic concepts of the DST of evidence, briefly mentioning its origins and comparisons with the more traditional Bayesian theory. Following this we discuss recent developments of this theory including analytical and application areas of interest. Finally we discuss developments via the use of an example incorporating DST with the Analytic Hierarchy Process (AHP). (C) 2000 Elsevier Science Ltd. All rights reserved.