Abstract — This paper introduces U-relations, a succinct and purely relational representation system for uncertain databases. U-relations support attribute-level uncertainty using vertical partitioning. If we consider positive relational algebra extended by an operation for computing possible

and analysis; and to Gerrit Wolf for help in analytic planning. This report was prepared in connection with research supported by the Office of Naval Research (Organizational Effectiveness Research Program,, and by the Manpower Administration, U. S. Department of Labor . Since grantees conducting research

graph theory, a mathematical discipline widely used in economic sociology. 2 Graph theory provides us with tools for describing networks at a "macro" level and for measuring the relative importance, or "centrality," of each actor in the network. Our centrality measures capture five

Abstract — The inherent uncertainty of data present in numerous applications such as sensor databases, text annotations, and information retrieval motivate the need to handle imprecise data at the database level. Uncertainty can be at the attribute or tuple level and is present in both continuous

The Federal Aviation Administration and the avi-ation community within the U.S. have recently adopted new operational procedures and deci-sion support tools for implementing and manag-ing Ground Delay Programs (GDPs) based on the Collaborative Decision Making paradigm. In this paper, we investigate

Although uncertainties exist in spatial data mining, they have not been paid much attention to. Uncertainty may have an influence on the confidential level, supportable level, and interesting level of spatial data mining. This paper proposes uncertainty-based spatial data mining. First, the concept

people desire positive relations with others, yet feel uncertain about their ability to effectively understand and control people at a subjective level, the more likely they are to compensate for that uncertainty by downplaying targets' subjective attributes and focusing instead on concrete

In this paper, the Preference Range and Uncertainty Filtering (PRUF) Method is proposed for visualizing multi-attribute design problem solutions under uncertainty. This method enables decision makers to perform real-time trade-off investigations by incorporating preference ranges and uncertainty

A two-dimensional framework for Decision Support Systems (DSS) cost-benefit analysis is proposed. One dimension reflects the de-gree to which the supported decision is struc-tured, the level of managerial ctivity, the level of uncertainty and the source of information used, while the second

We experimentally study the impact of preference uncertainty on voter turnout and electoral efficiency in a participation game. We find higher participation rates when the electorate is informed about the level of support for various candidates than when group sizes remain uncertain. Moreover