定量信念与定性信念融合导论

J. Dezert, F. Smarandache
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引用次数: 12

摘要

有效地管理和组合不确定和冲突的信息源对于开发可靠的信息融合系统至关重要。先进的融合系统必须同时处理由不同信息来源(传感器、专家系统、人类报告等)表达的信念的定量和定性方面。本文介绍了似是而非的推理理论,在文献中被称为DSmT (Dezert- Smarandache理论),最初是为处理印象推理而发展起来的。在给定问题m的一组可能解上提供定量信念的不确定和潜在高度冲突的信息源。我们还在本文中提出了DSmT的可能扩展,用于不确定和冲突的定性信息的组合,以便直接处理用语言标签表示的信念,而不是用数值表示的信念,更接近用自然语言表示的信息的性质,并且可以直接获得来自人类专家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Introduction to the Fusion of Quantitative and Qualitative Beliefs
The efficient management and combination of uncertain and conflict- ing sources of information remain of primal importance for the development of re- liable information fusion systems. Advanced fusion systems must deal both with quantitative and qualitative aspects of beliefs expressed by the differen t sources of information (sensors, expert systems, human reports, etc). This paper intro- duces the theory of plausible and paradoxical reasoning, known as DSmT (Dezert- Smarandache Theory) in literature, developed originally for dealing with impre- cise, uncertain and potentially highly conflicting sources of information pro viding quantitative beliefs on a given set of possible solutions of a given proble m. We also propose in this paper new ideas on a possible extension of DSmT for the combination of uncertain and conflicting qualitative information in order to de al directly with beliefs expressed with linguistic labels instead of numerical value s to be closer to the nature of information expressed in natural languages and available directly from human experts.
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