Extended fuzzy description logic ALCN

Authors:
Yanhui Li;Baowen Xu;Jianjiang Lu;Dazhou Kang;Peng Wang
Affiliations:
Department of Computer Science and Engineering, Southeast University, Nanjing, China;,Department of Computer Science and Engineering, Southeast University, Nanjing, China;,Department of Computer Science and Engineering, Southeast University, Nanjing, China;Department of Computer Science and Engineering, Southeast University, Nanjing, China;Department of Computer Science and Engineering, Southeast University, Nanjing, China
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Year:
2005

Citing 3
Cited 5

Attributive concept descriptions with complements

Artificial Intelligence
The description logic handbook: theory, implementation, and applications

The description logic handbook: theory, implementation, and applications
Reasoning within fuzzy description logics

Journal of Artificial Intelligence Research

Managing Uncertainty and Vagueness in Description Logics, Logic Programs and Description Logic Programs

Reasoning Web
Managing uncertainty and vagueness in description logics for the Semantic Web

Web Semantics: Science, Services and Agents on the World Wide Web
General Concept Inclusions in Fuzzy Description Logics

Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Reasoning with very expressive fuzzy description logics

Journal of Artificial Intelligence Research
Expressive fuzzy description logics over lattices

Knowledge-Based Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Web applications based on description logics often need management of fuzzy information and encounter fuzzy concepts. This paper proposes an extended fuzzy ALCN to enable representation and reasoning for complex fuzzy information. The extended fuzzy ALCN introduces the cut sets of fuzzy concepts and fuzzy roles as atomic concepts and atomic roles, and inherits the concept constructors from description logics to support a new logic system. This paper defines its syntax structure, semantic interpretation and reasoning problems. The extended fuzzy ALCN is more expressive than the existing fuzzy description logics and present more wide fuzzy information.