Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Fuzzy rough sets: application to feature selection
Fuzzy Sets and Systems
Fuzzy Sets and Systems
Updating non-additive measures with fuzzy information
Fuzzy Sets and Systems
Subsethood measure: new definitions
Fuzzy Sets and Systems
Inclusion grade and fuzzy implication operators
Fuzzy Sets and Systems
A class of rational cardinality-based similarity measures
Journal of Computational and Applied Mathematics
A fuzzy decision support system for IT service continuity threat assessment
Decision Support Systems
Uninorm-based models for FLC systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Soft Computing and Applications
Fuzzy inclusion and similarity through coherent conditional probability
Fuzzy Sets and Systems
Meta-theorems on inequalities for scalar fuzzy set cardinalities
Fuzzy Sets and Systems
Extracting strict orders from fuzzy preference relations
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
On representation and analysis of crisp and fuzzy information systems
Transactions on rough sets VI
Extending a hybrid CBR-ANN model by modeling predictive attributes using fuzzy sets
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
An approach to parameterized approximation of crisp and fuzzy sets
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
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In order to express the degree to which a subset of a finite universe is contained into another subset, the concept of inclusion measure (or subsethood measure) of ordinary sets is introduced. A distinction is made between three types of inclusion measures. The first type yields reflexive inclusion measures, whereas the second and third type both give rise to locally reflexive inclusion measures, the latter ones simply being complementary to the former ones.Furthermore, a systematic way of generating inclusion measures for ordinary sets is presented in the form of a rational expression solely based on cardinalities of the sets involved. Various properties of the obtained rational inclusion measures, such as monotonicity and transitivity, are investigated.