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Fuzzy information and imprecise probability
Author(s) -
Viertl R.,
Hareter D.
Publication year - 2004
Publication title -
zamm ‐ journal of applied mathematics and mechanics / zeitschrift für angewandte mathematik und mechanik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.449
H-Index - 51
eISSN - 1521-4001
pISSN - 0044-2267
DOI - 10.1002/zamm.200410152
Subject(s) - probability distribution , fuzzy logic , empirical probability , imprecise probability , applied probability , a priori and a posteriori , computer science , bayesian probability , mathematics , data mining , probability and statistics , bayesian inference , statistical inference , artificial intelligence , statistics , posterior probability , philosophy , epistemology
There are different kinds of uncertainty in connection with statistics and probability models. Besides the fuzziness of data also the imprecision of a‐priori distributions is an essential feature of stochastic models in applied mathematical work. The paper is on statistical analysis for fuzzy data, fuzzy densities and its application in Bayesian inference, including a gereralized probability concept, called fuzzy probability distributions.