Hedge algebras: an algebraic approach to structure of sets of linguistic truth values
Fuzzy Sets and Systems
Extended hedge algebras and their application to fuzzy logic
Fuzzy Sets and Systems
L-valued propositional logic Lvpl
Information Sciences: an International Journal
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Universal truth tables and normal forms
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
Exploring semantics in activity recognition using context lattices
Journal of Ambient Intelligence and Smart Environments
Parameterized uncertain reasoning approach based on a lattice-valued logic
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Ordering based decision making - A survey
Information Fusion
A linguistic multi-criteria decision making approach based on logical reasoning
Information Sciences: an International Journal
Information Sciences: an International Journal
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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.