使用粗糙集和证据合成理论中的方法,给出了获取概率信息系统的扩展决策规则集的一般方法。
Based on rough sets and evidence combining theory, a general method of extracting the extension decision rules of probability information system is given.
针对上述所提证据理论的局限性,本文提出了一种基于粗糙集理论的证据获取的新方法,并对证据合成和应用进行了研究。
To the limitation of evidence theory mentioned above, this paper proposes a new way of knowledge acquirement and also presents a valuable method of the evidence combination and application.
讨论了证据理论合成规则期望满足的基本性质。
Some desirably basic features concerned with the combination rules of evidence theory were discussed.
证据理论在不确定性问题中有很强的推理能力,而且合成法则对数据的融合处理提供理论依据。
The theory of evidence, called D-S theory, has great reasoning capacity in the questionably problems, and the dempster rule can provide theoretical foundation for the synergetic disposal of data.
阐述了D - S证据理论用于多传感器数据融合的基本概念、合成法则、一般步骤及决策准则。
The basic concepts, association rules, process, standard of decision and theory of D-S evidence reasoning applied to data fusion are analyzed in detail.
这一局限性成为制约D-S证据理论进一步推广的主要问题,所以对于冲突证据合成规则的研究和改进是一个亟待解决的问题。
This limitation becomes the main question for the D-S evidence theory to develop further, therefore it becomes an urgent issue to investigate and better the conflict evidence combination rule.
将模糊理论应用于证据合成,提出两种合成方法,并阐明其优缺点。
Applying fuzzy theory to the combination of evidence, we put forward two kinds of combination method, and clarify its merit and shortcoming.
将模糊理论应用于证据合成,提出两种合成方法,并阐明其优缺点。
Applying fuzzy theory to the combination of evidence, we put forward two kinds of combination method, and clarify its merit and shortcoming.
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