A linguistic approach of knowledge representation with both negative and positive factors

Author

Yingxin Wang ; Xiaochang Wu ; Yunxia Zhang ; Li Zou

Author_Institution

Marine Eng. Coll., Dalian Maritime Univ., Dalian, China

fYear

2014

fDate

28-29 Sept. 2014

Firstpage

1

Lastpage

5

Abstract

Linguistic truth-valued intuitionistic fuzzy pairs can express fuzzy information with both positive side and negative side at the same time. In this paper, we construct a linguistic knowledge representation model using linguistic truth-valued intuitionistic credibility factors, which can express the positive evidence and the negative evidence in a rule with truth value and false value respectively. We give some essential reasoning operators for the linguistic knowledge representation model based on the linguistic truth-valued intuitionistic fuzzy lattice.

Keywords

computational linguistics; fuzzy logic; knowledge representation; truth maintenance; fuzzy information; linguistic knowledge representation model; linguistic truth-valued intuitionistic credibility factors; linguistic truth-valued intuitionistic fuzzy lattice; reasoning operators; Algebra; Cognition; Computational modeling; Educational institutions; Knowledge representation; Lattices; Pragmatics; knowledge representation; linguistic intuitionistic credibility; uncertain reasoning;

fLanguage

English

Publisher

ieee

Conference_Titel

Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014 International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4799-6731-5

Type

conf

DOI

10.1109/MFI.2014.6997748

Filename

6997748