A Generalized Uncertainty Function and Fuzzy Modeling

Authors:
Arkady Bolotin
Affiliations:
-
Venue:
ISMDA '01 Proceedings of the Second International Symposium on Medical Data Analysis
Year:
2001

Citing 3
Cited 0

Constructing fuzzy measures in expert systems

Fuzzy Sets and Systems - Special issue on fuzzy measures and integrals
On fuzzy-set interpretation of possibility theory

Fuzzy Sets and Systems
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference

Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference

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Abstract

In this paper, a new hypothesis concerning the relationship between fuzzy truth values and probabilities is put forward. According to the hypothesis, the possibility distribution function and probability density function are not independent mathematical entities, but only different forms of a generalized uncertainty function.