Reasoning within expressive fuzzy rough description logics

被引：19

作者：

Jiang, Yuncheng ^{[1
]}

Wang, Ju ^{[1
]}

Deng, Peimin ^{[1
]}

Tang, Suqin ^{[1
]}

机构：

[1] Guangxi Normal Univ, Sch Comp Sci & Informat Technol, Guilin 541004, Peoples R China

来源：

FUZZY SETS AND SYSTEMS | 2009年 / 160卷 / 23期

基金：

中国国家自然科学基金;

关键词：

Description logics; Fuzzy description logics; Rough description logics; Fuzzy rough description logics; Fuzzy rough set theory; SETS; NOMINALS; RESTRICTIONS; UNCERTAINTY;

D O I：

10.1016/j.fss.2009.01.004

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

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 fuzzy DLs and rough DLs has been attempted by providing fuzzy rough DLs based oil fuzzy rough set theory. The syntax, semantics and properties of fuzzy rough DLs are given It v; proved that the satisfiability, subsumption, entailment and A Box consistency reasoning in fuzzy rough DLs may be reduced to the A Box consistency reasoning in the corresponding fuzzy DLs. (C) 2009 Elsevier B.V All rights reserved

引用

页码：3403 / 3424

页数：22

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