【24h】

Deriving Fuzzy Subsethood Measures from Violations of the Implication between Elements

机译:从违反元素之间的含意推导模糊子集度量

获取原文

摘要

The aim of this paper is to present a collection of new measures of subsethood between fuzzy sets. Starting from the relationship between crisp set containment and logical implication, some fuzzy approaches are reviewed. An excerpt of reasonable fuzzy implication operators is used to define fuzzy measures of inclusion using Kosko's fitviolation strategy. We test these measures on two axiomatics and derive, when possible, measures of fuzzy entropy. Once a subsethood measure between fuzzy sets is defined. other operations as set equality, similarity, disjointness, ocmplement, ...can be considered. The need for containment measures is present in wide areas as approximate reasoning and inference, image processing or learning.
机译:本文的目的是提出一个新的模糊集之间子集度量的集合。从清晰集包含与逻辑含义之间的关系出发,回顾了一些模糊方法。合理的模糊蕴涵算子摘录用于使用Kosko的fitvioviolation策略定义包含的模糊度量。我们在两个公理学上测试了这些度量,并在可能的情况下得出了模糊熵的度量。一旦定义了模糊集之间的子集度量。可以考虑其他设置为相等,相似,不相交,占用...的操作。在广泛的领域中,需要采取遏制措施,例如近似的推理和推论,图像处理或学习。

著录项

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