Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
The principle of minimum specificity as a basis for evidential reasoning
Processing and Management of Uncertainty in Knowledge-Based Systems on Uncertainty in knowledge-based systems. International Conference on Information
Random sets and fuzzy interval analysis
Fuzzy Sets and Systems - Special issue on mathematical aspects of fuzzy sets
A first course in fuzzy logic
A non-specificity measure for convex sets of probability distributions
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - special issue on models for imprecise probabilities and partial knowledge
Uncertainty-Based Information: Elements of Generalized Information Theory
Uncertainty-Based Information: Elements of Generalized Information Theory
Statistical Modeling, Analysis and Management of Fuzzy Data
Statistical Modeling, Analysis and Management of Fuzzy Data
Uncertainty and Information: Foundations of Generalized Information Theory
Uncertainty and Information: Foundations of Generalized Information Theory
An Introduction to Copulas (Springer Series in Statistics)
An Introduction to Copulas (Springer Series in Statistics)
Random intervals as a model for imprecise information
Fuzzy Sets and Systems
Classical and imprecise probability methods for sensitivity analysis in engineering: A case study
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
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In this document the Hartley-like-based measure of nonspecificity for finite random sets is extended to infinite random sets of indexable type. In the course of the paper, concepts defined in the realm of Dempster-Shafer evidence theory, like joint and marginal random sets and random set inclusion are also generalized. It is shown that the proposed measure is the unique one that fulfills a set of characterizing properties, and in addition corresponds to the one defined in the field of evidence theory when particularized to finite random sets.