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Coordination Uncertainty of Belief Measures in Information Fusion

机译:信息融合中信念度量的协调不确定性

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摘要

Fuzzy measures are used to describe interactions among given attributes towards a certain target. Given an observation as a function defined on the set of attributes, an integral of the function with respect to a given fuzzy measure is usually taken as an aggregation tool in information fusion. Various types of integrals represent different coordination modes of attributes. Thus, in case the coordination mode is unknown, due to the nonadditivity of the fuzzy measure, the integral value is uncertain and varies according to the type of the integral. A commonly used type of fuzzy measures are believe measures. The coordination uncertainty associated with belief measures in information fusion is discussed. Furthermore, the behavior of coordination uncertainty under the Dempster rule of combination is investigated in this paper.
机译:模糊度量用于描述给定属性与特定目标之间的相互作用。给定作为在属性集上定义的函数的观察结果,通常将函数相对于给定模糊度量的积分用作信息融合中的聚合工具。各种类型的积分表示属性的不同协调方式。因此,在未知的协调模式的情况下,由于模糊度量的不加性,积分值是不确定的并且根据积分的类型而变化。常用的模糊测度类型是信度测度。讨论了与信息融合中信念度量相关的协调不确定性。此外,本文研究了组合的Dempster规则下协调不确定性的行为。

著录项

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  • 作者

    Zhenyuan Wang; George J. Klir;

  • 作者单位

    Department of Mathematics, University of Nebraska at Omaha, Omaha, NE 68182, USA;

    Department of Systems Science and Industrial Engineering, Thomas J. Watson School of Engineering, Binghamton University-SUNY, Binghamton, NY 13902, USA;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论;
  • 关键词

  • 入库时间 2022-08-26 14:23:23

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