DSmT：信息融合的新范式转变
DSmT: A new paradigm shift for information fusion
摘要：
不确定的，不精确的，模糊的，甚至矛盾的或高度冲突的信息源的管理和组合一直是，仍然是可靠的信息融合系统的发展的首要重要性。在这篇简短的调查论文中，我们提出了合理和矛盾推理的理论，在文献中被称为DSmT（Dezert-Smarandache理论），用于处理不精确，不确定和潜在的高度冲突的信息来源。DSmT是信息融合的一种新的范式转变，最近的出版物已经显示出DSmT的兴趣和潜在的能力，以解决融合问题，其中Dempster的规则中使用的Dempster-Shafer理论（DST）提供反直观的结果或未能提供有用的结果在所有。本文重点介绍了DSmT的基础及其主要的组合规则（经典，混合和比例冲突再分配规则）。Shafer模型是DSmT的一个特例，DSmT也可以很容易地处理它。本文给出了几个简单但说明性的例子，以显示这个新理论的兴趣和一般性。
英文摘要：
The management and combination of uncertain, imprecise, fuzzy and even paradoxical or high conflicting sources of information has always been and still remains of primal importance for the development of reliable information fusion systems. In this short survey paper, we present the theory of plausible and paradoxical reasoning, known as DSmT (Dezert-Smarandache Theory) in literature, developed for dealing with imprecise, uncertain and potentially highly conflicting sources of information. DSmT is a new paradigm shift for information fusion and recent publications have shown the interest and the potential ability of DSmT to solve fusion problems where Dempster's rule used in Dempster-Shafer Theory (DST) provides counter-intuitive results or fails to provide useful result at all. This paper is focused on the foundations of DSmT and on its main rules of combination (classic, hybrid and Proportional Conflict Redistribution rules). Shafer's model on which is based DST appears as a particular and specific case of DSm hybrid model which can be easily handled by DSmT as well. Several simple but illustrative examples are given throughout this paper to show the interest and the generality of this new theory.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
