The analysis of variance is a popular method used in many scientific applications. There are standard software for handling unbalanced data due to missing values in the outcome/dependent variable. The analysis becomes difficult when the missing values are in predictors. Multiple imputation is an increasingly popular method for handling such incomplete data. This approach involves replacing the ...

In complex multidimensional problems with a highly nonlinear input-output relation, inconsistent or redundant rules can be found in the fuzzy model rule base, which can result in a loss of accuracy and interpretability. Moreover, the rules could not cooperate in the best possible way. It is known that the use of rule weights as a local tuning of linguistic rules, enables the linguistic fuzzy mo...

Dempster’s rule for combining two belief functions assumes the independence of the sources of information. If this assumption is questionable, I suggest to use the least specific combination minimizing the conflict among the ones allowed by a simple generalization of Dempster’s rule. This increases the monotonicity of the reasoning and helps us to manage situations of dependence. Some propertie...

Hall, K.R., Iglesias-Silva, G.A. and Mansoori, G.A., 1993. Quadratic mixing rules for equations of state. Origins and relationships to the virial expansion. Fluid Phase Equilibria, 91: 67-76. Quadratic mixing rules, originally proposed by van der Waals, are used extensively in mixture calculations involving equations of state. Several ways exist to derive such mixing rules from the principles o...

The influence of the unlike Lennard-Jones (LJ) parameters on vapor-liquid equilibria of mixtures is investigated and the performance of eleven combining rules is assessed. In the first part of the work, the influence of the unlike LJ size and energy parameter on vapor pressure, bubble density and dew point composition is systematically studied for the mixtures CO+C2H6 and N2+C3H6, respectively....

Acquiring a comprehensive understanding of the phase behaviour of mixtures of crude-oil with carbon dioxide and water is a key input for reservoir engineering in processes of enhanced oil recovery and geological storage of carbon dioxide. To gain an insight, given the very complex nature of crude-oil mixtures, the study of simpler systems is of interest. In this work the system (propane + carbo...

Synthetic datasets generated within the multiple imputation framework are now commonly used by statistical agencies to protect the confidentiality of their respondents. More recently, researchers have also proposed techniques to generate synthetic datasets which offer the formal guarantee of differential privacy. While combining rules were derived for the first type of synthetic datasets, littl...

We describe a proposed assistive conversational skills training system using artificial intelligence and natural language generation techniques to simulate spoken dialogue between two embodied agents, one character representing a caregiver and the other character a person with Alzheimer's Disease (AD). The type of dialogue simulated is social conversation in which the caregiver encourages the p...

OO jDREW extensions are discussed for top-down and bottom-up rule execution, a Findall solutions predicate for the top-down engine, dual rule syntax, light-weight rule-ontology combination, and importing knowledge bases from Web sources. A design is presented for introducing uncertainty management to knowledge representation with rules, and exemplified with a Currency Exchange example. Figure 1...

Multiple imputation is a common approach for handling missing data. It is also used by government agencies to protect confidential information in public use data files. One reason for the popularity of multiple imputation approaches is ease of use: analysts make inferences by combining point and variance estimates with simple rules. These combining rules are based on method of moments approxima...