Discriminant Functions Based on Approximate Maximum Likelihood Estimation from Fuzzy Observation Data
نویسندگان
چکیده
منابع مشابه
Maximum likelihood estimation from fuzzy data using the EM algorithm
A method is proposed for estimating the parameters in a parametric statistical model when the observations are fuzzy and are assumed to be related to underlying crisp realizations of a random sample. This method is based on maximizing the observeddata likelihood defined as the probability of the fuzzy data. It is shown that the EM algorithm may be used for that purpose, which makes it possible ...
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ژورنال
عنوان ژورنال: Journal of Japan Society for Fuzzy Theory and Systems
سال: 1992
ISSN: 0915-647X,2432-9932
DOI: 10.3156/jfuzzy.4.1_172