Analysis and interpretation of collective feedback on ordinal scales is an important issue for several disciplines, including social sciences, ...
In doing so, we introduce approaches for gathering individual uncertainty, and discuss their viability and limitations. Conse- quently, we enrich state of the ...
Analysis and interpretation of collective feedback on ordinal scales is an important issue for several disciplines, including social sciences, ...
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Discuss modeling of information about an uncertain variable using an ordinal scale. We look at problem of multi-source fusion in this ordinal environment.
Sep 12, 2024 · This paper introduces a novel framework for Archetypal Analysis (AA) tailored to ordinal data, particularly from questionnaires.
The thesis is concerned with applying a method that uses graphical models to solve a reservoir simulation problem. The focus will be on the graphical models ...
The uncertainty component accounts for indecision in the process of selec- tion of the ordinal response and considers elements such as the unconscious ...
Sep 24, 2024 · In this paper, we address the question of how to quantify uncertainty in ordinal classification, where class labels have a natural (linear) order.
A method for mining ordinal multivariate data using non-parametric BBNs is presented. The main advantage of this method is that it can handle a large number of ...
Ordinal regression models may be most useful in medical imaging as the data are frequently recorded using ordered categories. Each of these forms of regression ...
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