Title :
Counting with Fuzzy Sets
Author_Institution :
Verac Inc., 9605 Scranton Road, San Diego, CA 92121.
fDate :
7/1/1986 12:00:00 AM
Abstract :
The notion of fuzzy set cardinality is examined. Zadeh´s suggested measure of fuzzy cardinality, the sigma-count, is adopted and shown to generalize classical counting measure. This allows many combinatorial structures and counting techniques to be fuzzified, and hence used in knowledge representation and pattern recognition models. A fuzzy set review is found in the Appendix.
Keywords :
Combinatorial mathematics; Fuzzy sets; Greedy algorithms; Heuristic algorithms; Knowledge representation; Pattern recognition; Pixel; Combinatorics; counting measure; fuzzy cardinality; fuzzy sets; greedy algorithms; sigma-count;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1986.4767822