Taking Account of Uncertain, Imprecise and Incomplete Data in Sustainability Assessments in Agriculture.
Jérôme DantanYann PolletSalima TaibiPublished in: ICCSA (3) (2014)
Keyphrases
- incomplete data
- missing data
- learning bayesian networks
- uncertain information
- imprecise data
- missing values
- bayesian networks
- imprecise information
- em algorithm
- incomplete data sets
- typical testors
- multiple imputation
- bayes classifier
- decision making
- data sets
- pattern recognition
- incomplete information
- decision makers
- neural network