Statistical analysis with missing data
Statistical analysis with missing data
The mean value of a fuzzy number
Fuzzy Sets and Systems - Fuzzy Numbers
Uncertainty, belief, and probability
Computational Intelligence
Density estimation under qualitative assumptions in higher dimensions
Journal of Multivariate Analysis
A first course in fuzzy logic
Two-sample hypothesis tests of means of a fuzzy random variable
Information Sciences: an International Journal - Fuzzy random variables
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
A random set characterization of possibility measures
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy Sets and Systems
Management of uncertainty in Statistical Reasoning: The case of Regression Analysis
International Journal of Approximate Reasoning
A Development of Inclusion-degree-based Rough Fuzzy Random Sets
Fundamenta Informaticae
A Development of Inclusion-degree-based Rough Fuzzy Random Sets
Fundamenta Informaticae
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The theoretical aspects of statistical inference with imprecise data, with focus on random sets, are considered. On the setting of coarse data analysis imprecision and randomness in observed data are exhibited, and the relationship between probability and other types of uncertainty, such as belief functions and possibility measures, is analyzed. Coarsening schemes are viewed as models for perception-based information gathering processes in which random fuzzy sets appear naturally. As an implication, fuzzy statistics is statistics with fuzzy data. That is, fuzzy sets are a new type of data and as such, complementary to statistical analysis in the sense that they enlarge the domain of applications of statistical science.