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摘要翻译：
Martin和Osswald\cite{Martin07}最近提出了许多关于数量信念的组合规则的概括，以管理冲突和考虑专家反应的特殊性。由于专家通常用带有语言标记的自然语言来表达自己，Smarandache和Dezert\cite{Li07}引入了一个直接处理定性信念的数学框架。在本文中，我们回顾了我们以前工作中的一些因素，并提出了新的组合规则，为定性或定量信念的融合而发展。
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英文标题：
《General combination rules for qualitative and quantitative beliefs》
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作者：
Arnaud Martin (E3I2), Christophe Osswald (E3I2), Jean Dezert (ONERA),
Florentin Smarandache (UNM)
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最新提交年份：
2009
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分类信息：
一级分类：Computer Science 计算机科学
二级分类：Artificial Intelligence 人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
Martin and Osswald \cite{Martin07} have recently proposed many generalizations of combination rules on quantitative beliefs in order to manage the conflict and to consider the specificity of the responses of the experts. Since the experts express themselves usually in natural language with linguistic labels, Smarandache and Dezert \cite{Li07} have introduced a mathematical framework for dealing directly also with qualitative beliefs. In this paper we recall some element of our previous works and propose the new combination rules, developed for the fusion of both qualitative or quantitative beliefs.
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PDF链接：
https://arxiv.org/pdf/0906.5119
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