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An approach to sensitivity analysis for data quality assessment in mobile decision-makingNew draft item

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conference contribution
posted on 2016-09-16, 02:32 authored by San Pedro, Jocelyn, Burstein, Frada, Zaslavsky, Arkady
In this paper, we propose a framework for mobile decision support that uses a dynamic context representation of quality of data to represent uncertainties in the mobile computing environment. We explore the notion of sensitivity analysis in these settings. Such analysis would be aimed at assessing the impact of con-text changes to decision outcomes. Our aim is to develop a decision support tool that intelligently adapts to changes in environment and sends alerts and advice on impact of these changes in decision outcomes. The paper describes how such system can be developed.

Presented at: 7th International Conference of the International Society for Decision Support Systems: DSS in the Uncertainty of the Internet Age; 2003 Jul 13-16; Ustron, Poland. 10 leaves.

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2003

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