Fuzzy Sets and Systems
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
Fuzzy Sets and Systems
A probabilistic definition of a nonconvex fuzzy cardinality
Fuzzy Sets and Systems
The Magic of Duplicates and Aggregates
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
Algebraic Properties of Bag Data Types
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
Multirelations: semantice and languages
VLDB '85 Proceedings of the 11th international conference on Very Large Data Bases - Volume 11
The set of fuzzy rational numbers and flexible querying
Fuzzy Sets and Systems
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories
Hi-index | 0.00 |
Bags, also called multisets, were introduced by R. Yager as set-like algebraic structures where elements are allowed to be repeated. Since the original papers by Yager, different definitions of the concept of fuzzy bag, and the corresponding operators, are available in the literature, as well as some extensions of the union, intersection and difference operators of sets, and new algebraic operators. In general, the current definitions of bag pose very interesting issues related to the ontological aspects and practical use of bags. In this paper we introduce a characterization of bags viewing them as the result of a count operation on the basis of a mathematical correspondence. We also discuss on the extension of our alternative characterization of bags to the fuzzy case. On these basis we introduce some operators on bags and fuzzy bags, and we compare them to existing approaches.