首页> 外文会议>Symbolic and quantitative approaches to reasoning with uncertainty >Belief Functions on MV-Algebras of Fuzzy Events Based on Fuzzy Evidence
【24h】

Belief Functions on MV-Algebras of Fuzzy Events Based on Fuzzy Evidence

机译:基于模糊证据的模糊事件MV代数的置信函数

获取原文
获取原文并翻译 | 示例

摘要

Recently Kroupa has proposed a generalization of belief functions on MV-algebras, the latter being the chosen algebraic setting for fuzzy (or many-valued) events. However, Kroupa's belief functions evaluate the degree of belief in the occurrence of fuzzy events by taking into account (weighted) evidence on classical subsets. In other words, the focal elements, used in determining the degree of belief, are classical sets. Within the MV-algebraic setting, the aim of the present work is to introduce a generalization of Kroupa belief functions that allows to deal with fuzzy events supported by evidence on fuzzy subsets.
机译:最近,Kroupa提出了对MV代数的置信函数的一般化,后者是模糊(或多值)事件的选定代数设置。但是,Kroupa的置信函数通过考虑经典子集上的(加权)证据来评估模糊事件发生的置信度。换句话说,用于确定置信度的焦点元素是经典集合。在MV代数设置中,本工作的目的是介绍Kroupa信念函数的一般化,该函数允许处理模糊子集证据所支持的模糊事件。

著录项

  • 来源
  • 会议地点 Belfast(GB);Belfast(GB)
  • 作者单位

    III A, Artificial Intelligence Research Institute CSIC, Spanish National Research Council Campus de la Univ. Autonoma de Barcelona s 08193 Bellaterra, Spain;

    III A, Artificial Intelligence Research Institute CSIC, Spanish National Research Council Campus de la Univ. Autonoma de Barcelona s 08193 Bellaterra, Spain;

    III A, Artificial Intelligence Research Institute CSIC, Spanish National Research Council Campus de la Univ. Autonoma de Barcelona s 08193 Bellaterra, Spain;

  • 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

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号