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Vague集信息融合理论在煤矿安全监测中的应用 被引量:3

Application of vague set information fusion theory in mine safety monitoring
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摘要 针对模糊信息融合的局限性,提出了基于vague集理论的多传感器信息融合方法。为了解决以往的vague集多目标模糊决策方法的缺陷,应用了一种新的多目标模糊决策的vague集方法,建立了基于vague集的多传感器信息融合模型,给出了该方法的数学描述、数据组织、结果评价及算法实现过程。通过实例研究,验证了该方法的有效性和正确性,从而验证了vague集理论在多传感器信息融合中的应用是更有潜力的新方法。 In view of the limitation of fuzzy information fusion, this paper proposed a method for the vague set theory of multi- sensor information fusion. In order to solve the faults in the method of multi-goal fuzzy decision-making based on the old vague set, applied a new method of multi-goal fuzzy decision-making vague sets, and constructed a model for multi-sensor information fusion based on the vague set. Then, given the mathematical description, the data organization, the evaluation of the results of this method, and the implementation course of the algorithm. The examples show the validity and accuracy of this method. Thus it has been confirmed that application of vague set theory in multi-sensor information fusion is a new method which has the potential.
出处 《计算机应用研究》 CSCD 北大核心 2009年第6期2282-2284,共3页 Application Research of Computers
基金 国家自然科学基金资助项目(50874059)
关键词 信息融合 VAGUE集 多传感器 模糊决策 information fusion vague sets muhi-sensor fuzzy decision-making
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