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Toward a Synergy of a Lattice Implication Algebra with Fuzzy Lattice Reasoning - A Lattice Computing Approach

Yi Liu, Vassilis G. Kaburlasos, Anestis G. Hatzimichailidis, Yang Xu

Year
2016
Citations
4
Access
Open access

Abstract

Automated reasoning can be instrumental in real-world applications involving "intelligent" machines such as (semi-)autonomous vehicles as well as robots. From an analytical point of view, reasoning consists of a series of inferences or, equivalently, implications. In turn, an implication is a function which obtains values in a welldefined set. For instance, in classical Boolean logic an implication obtains values in the set {0, 1}, i.e. it is either true (1) or false (0); whereas, in narrow fuzzy logic an implication obtains values in the specific complete mathematical lattice unit-interval, symbolically [0, 1], i.e. it is partially true/false.

Keywords

Lattice (music)Fuzzy logicAlgebra over a fieldLattice problemMathematicsTheoretical physicsComputer scienceCondensed matter physicsPure mathematicsPhysics

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