Lattice computing in hybrid intelligent systems

Lattice Computing is the class of algorithms built on the basis of Lattice Theory. They either perform operations in the ring of the real valued spaces endowed with some (inf, sup) lattice operators, or use lattice theory to produce generalizations or fusions of conventional approaches. Lattice Computing has produced a variety of algorithms for data processing, classification, signal filtering over the last decades. On the other hand, hybrid algorithms are flourishing in the last years giving innovative solutions to new and old problems. Hybrid algorithms are free combinations of Computational Intelligence approaches for data mining, signal processing or general artificial intelligence questions, including statistical, nature and bio-inspired algorithms. In this paper we review some Lattice Computing approaches and how they have been hybridized for specific problems.

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