Application of Meta Sets to Character Recognition
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Fuzzy Sets and Systems
GPU Computing Gems Emerald Edition
GPU Computing Gems Emerald Edition
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Metaset is a new concept of set with partial membership relation. It is designed to represent and process vague, imprecise data --- similarly to fuzzy sets. Metasets are based on the classical set theory primitive notions. At the same time they are directed towards efficient computer implementations and applications. The degrees of membership for metasets are expressed as finite binary sequences, they form a Boolean algebra and they may be evaluated as real numbers too. Besides partial membership, equality and their negations, metasets allow for expressing a hesitancy degree of membership --- similarly to intuitionistic fuzzy sets. The algebraic operations for metasets satisfy axioms of Boolean algebra.