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
Elements of intuitionistic fuzzy logic. Part I
Fuzzy Sets and Systems
A fusion approach for managing multi-granularity linguistic term sets in decision making
Fuzzy Sets and Systems
&agr;-resolution principle based on lattice-valued propositional logic LP(X)
Information Sciences: an International Journal
&agr;-resolution principle based on first-order lattice-valued logic LF (X)
Information Sciences: an International Journal
An algebraic approach to linguistic hedges in Zadeh's fuzzy logic
Fuzzy Sets and Systems - Data bases and approximate reasoning
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International Journal of Intelligent Systems
A Kind of Resolution Method of Linguistic Truth-Valued Propositional Logic Based on LIA
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 01
Universal truth tables and normal forms
IEEE Transactions on Fuzzy Systems
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A kind of intuitionistic linguistic truth-valued reasoning approach for decision making with both comparable and incomparable truth values is proposed in this paper. By using the lattice implication algebra, an six-element linguistic truth-valued intuitionistic propositional logic system is established which can express both truth degree and falsity degree. The implication operation of linguistic truth-valued intuitionistic propositional logic can be deduced from four times implication of their truth values. Therefore, we can use more information in the process of reasoning and eventually improve the precision of reasoning. As reasoning and operation are directly acted by linguistic truth values in the decision process, the issue on how to obtain the weight for rational decision making results is discussed. An illustration example shows the proposed approach seems more effective for decision making under a linguistic information environment with both truth degree and falsity degree.