Within the framework of uncertainty-based geographic information science, this paper addresses modeling uncertainties in integrating multiple sources of data, modeling uncertainty in overlay analysis, modeling uncertainty in line simplification, uncertainty-based spatial data mining, uncertainty-based spatial queries, theory and methods for controlling the quality of spatial data, modeling unce...

Panchalingam, Geethanjali. Ph.D., Purdue University, May 1992. Uncertainty Modeling of Many Correlated and Skewed Random Variables. Major Professor: Milton E. Harr. This thesis presents a point estimate methodology directly suited to uncertainty modeling for systems with many correlated and skewed random variables. The methodology proposes two models. The models provide a simple but powerful pr...

Simplifying and structuring qualitatively complex knowledge, quantifying it in a certain way to make it reusable and easily accessible are all aspects that are not new to historians. Computer science is currently approaching a solution to some of these problems, or at least making it easier to work with historical data. In this paper, we propose a historical knowledge representation model takin...

chloride ion ingress in concrete is the main reason of concrete corrosion. in real world both uncertainty and stochasticity are main attributes of almost all measurements including testing and modeling of chloride content profile in concrete. regarding these facts new models should be able to represent at least some of the uncertainties in the predictions. in this paper after inspiration from c...