The purpose of the present work is to survey the dissimilarity measures defined so far in the
mathematical framework of evidence theory, and to propose a classification of these …

在对证据理论的建模, 推理, 决策到评估各层面最新进展梳理的基础上, 对证据理论现有研究中
存在的一些问题, 混淆和误解结合仿真算例进行了分析和探讨, 包括证据理论与概率论的关系 …

In belief functions related fields, the distance measure is an important concept, which
represents the degree of dissimilarity between bodies of evidence. Various distance …

In this article we develop a method for conflict management within Dempster–Shafer theory.
The idea is that each piece of evidence is discounted in proportion to the degree that it …

40 years of Dempster-Shafer theory | International Journal of Approximate Reasoning skip to
main content ACM Digital Library home ACM Association for Computing Machinery corporate …

Uncertainty information processing is a challenging topic in information science. Dempster-
Shafer evidence theory shows excellent performance when dealing with uncertainty in …

Object association is a crucial step in target tracking and data fusion applications. This task
can be formalized as the search for a relation between two sets (eg, a sets of tracks and a …

In this study, we consider a new aspect of belief function or Dempster-Shafer theory to define
a belief set and cosine similarity measure between two belief sets under uncertainty. For this …

The multi-agent information fusion (MAIF) system can alleviate the limitations of a single
expert system in dealing with complex situations, as it allows multiple agents to cooperate in …

Dissimilarity measures have been widely studied in the field of probability theory and fuzzy
set theory. The purpose of this paper is to provide an overview of the existing dissimilarity …