首页> 外文期刊>Information Sciences: An International Journal >Reasoning within intuitionistic fuzzy rough description logics
【24h】

Reasoning within intuitionistic fuzzy rough description logics

机译:直觉模糊粗糙描述逻辑中的推理

获取原文
获取原文并翻译 | 示例
           

摘要

It is generally accepted that the management of imprecision and vagueness will yield more intelligent and realistic knowledge-based applications. Description Logics (DLs) are suitable, well-known logics for managing structured knowledge that have gained considerable attention the last decade. The current research progress and the existing problems of uncertain or imprecise knowledge representation and reasoning in DLs are analyzed in this paper. An integration between the theories of intuitionistic fuzzy DLs and rough DLs has been attempted by providing intuitionistic fuzzy rough DLs; based on intuitionistic fuzzy rough set theory. The syntax, semantics and properties of intuitionistic fuzzy rough DLs are given. It is proved that the satisfiability, subsumption, entailment and ABox consistency reasoning in intuitionistic fuzzy rough DLs may be reduced to the corresponding satisfiability, subsumption, entailment and ABox consistency reasoning in fuzzy DL over complete lattice, respectively.
机译:人们普遍认为,对不精确和模糊性的管理将产生更加智能和现实的基于知识的应用程序。描述逻辑(DL)是用于管理结构化知识的合适的,众所周知的逻辑,在过去的十年中已经引起了广泛的关注。分析了数字图书馆中知识表示和推理的不确定性或不精确性的研究现状和存在的问题。通过提供直觉模糊粗糙DL,已经尝试将直觉模糊DL和粗糙DL的理论进行整合。基于直觉模糊粗糙集理论。给出了直觉模糊粗糙DL的语法,语义和性质。证明了直觉模糊粗糙DL的可满足性,包含性,蕴涵性和ABox一致性推理可以分别降低为完整格上模糊DL中的满足性,包含性,蕴涵性和ABox一致性推理。

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