An axiomatizable lattice-ordered linguistic truth-valued logic

Jun Liu, Yang Xu, Da Ruan, Jan Wagemans

Research outputpeer-review

Abstract

Investigations on an algebraic structure of linguistic truth values in decision making and social science applications still lack a formalism for development of strict linguistic truth-valued logic system and its approximate reasoning scheme in practice. To attain this goal we characterize and construct the structure of linguistic value sets in natural language by a lattice-valued algebra structure - lattice implication algebra (LIA), where Łukasiewicz implication algebra, as a special case of LIA, plays a substantial role. By using Łukasiewicz logic’s axiomatizability in terms of Pavelka type fuzzy logic, we propose a new axiomatizable linguistic truth-valued logic system based on LIA to place an important foundation for further establishing formal linguistic valued logic based approximate reasoning systems. This proposed logic system has a distinct advantage of handling incomparable linguistic terms in perception-based decision making processes.
Original languageEnglish
Title of host publicationComputational Intelligence -- Foundations and Applications
Place of PublicationSingapore, Singapore
Pages72-78
Number of pages7
Volume1
DOIs
StatePublished - Aug 2010
Event2010 - 9th International FLINS Conference on Foundations and Applications of Computational Intelligence - Chengdu
Duration: 2 Aug 20104 Aug 2010
Conference number: FLINS 2010

Publication series

NameComputer Engineering and Information Science
Number4

Conference

Conference2010 - 9th International FLINS Conference on Foundations and Applications of Computational Intelligence
Country/TerritoryChina
CityChengdu
Period2010-08-022010-08-04

Funding

This work is supported by the National Natural Science Foundation of China (No. 60875034), the Specialized Research Foundation for the Doctoral Program of Higher Education of China (Grant No. 20060613007), and the research project TIN2009-08286 and P08-TIC-3548. † The correspondent author, email: [email protected].

FundersFunder number
NSFC - National Natural Science Foundation of China60875034
Specialized Research Fund for the Doctoral Program of Higher Education of China20060613007, P08-TIC-3548, TIN2009-08286

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