A linguistic truth-valued uncertainty reasoning model based on lattice-valued logic

Chen, S; Xu, Y; Ma, J

A linguistic truth-valued uncertainty reasoning model based on lattice-valued logic

Chen, S Xu, Y Ma, J

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Publisher:: Springer
Publication Type:: Conference Proceeding
Citation:: Fuzzy Systems and Knowledge Discovery, Second International Conference, FSKD 2005, 2005, 3613 pp. 276 - 284
Issue Date:: 2005-01

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Field	Value	Language
dc.contributor.author	Chen, S	en_US
dc.contributor.author	Xu, Y	en_US
dc.contributor.author	Ma, J	en_US
dc.contributor.editor	Wang, L	en_US
dc.contributor.editor	Jin, Y	en_US
dc.date	2005-07-29	en_US
dc.date.issued	2005-01	en_US
dc.identifier.citation	Fuzzy Systems and Knowledge Discovery, Second International Conference, FSKD 2005, 2005, 3613 pp. 276 - 284	en_US
dc.identifier.isbn	978-3-540-28312-6	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16124
dc.description.abstract	The subject of this work is to establish a mathematical framework that provide the basis and tool for uncertainty reasoning based on linguistic information. This paper focuses on a flexible and realistic approach, i.e., the use of linguistic terms, specially, the symbolic approach acts by direct computation on linguistic terms. An algebra model with linguistic terms, which is based on a logical algebraic structure, i.e., lattice implication algebra, is applied to represent imprecise information and deals with both comparable and incomparable linguistic terms (i.e., non-ordered linguistic terms). Within this framework, some inferential rules are analyzed and extended to deal with these kinds of lattice-valued linguistic information.	en_US
dc.publisher	Springer	en_US
dc.relation.ispartof	Fuzzy Systems and Knowledge Discovery, Second International Conference, FSKD 2005	en_US
dc.relation.ispartof	International Conference on Fuzzy Systems and Knowledge	en_US
dc.relation.isbasedon	10.1007/11539506_35	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	A linguistic truth-valued uncertainty reasoning model based on lattice-valued logic	en_US
dc.type	Conference Proceeding
utslib.citation.volume	3613	en_US
utslib.location	Heidelberg	en_US
utslib.location.activity	Changsha, China	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Changsha, China	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.place-of-publication	Heidelberg	en_US
pubs.start-date	2005-07-29	en_US
pubs.volume	3613	en_US

Abstract:

The subject of this work is to establish a mathematical framework that provide the basis and tool for uncertainty reasoning based on linguistic information. This paper focuses on a flexible and realistic approach, i.e., the use of linguistic terms, specially, the symbolic approach acts by direct computation on linguistic terms. An algebra model with linguistic terms, which is based on a logical algebraic structure, i.e., lattice implication algebra, is applied to represent imprecise information and deals with both comparable and incomparable linguistic terms (i.e., non-ordered linguistic terms). Within this framework, some inferential rules are analyzed and extended to deal with these kinds of lattice-valued linguistic information.

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http://hdl.handle.net/10453/16124