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» Rough Sets for Uncertainty Reasoning
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GEOINFORMATICA
1998
101views more  GEOINFORMATICA 1998»
15 years 5 months ago
Imprecision in Finite Resolution Spatial Data
An important component of spatial data quality is the imprecision resulting from the resolution at which data are represented. Current research on topics such as spatial data inte...
Michael F. Worboys
LPNMR
2007
Springer
16 years 3 days ago
Semantics for Possibilistic Disjunctive Programs
In this paper by considering an answer set programming approach and some basic ideas from possibilistic logic, we introduce a possibilistic disjunctive logic programming approach t...
Juan Carlos Nieves, Mauricio Osorio, Ulises Cort&e...
ECAI
2004
Springer
15 years 11 months ago
Uncertain Linear Constraints
Linear constraints occur naturally in many reasoning problems and the information that they represent is often uncertain. There is a difficulty in applying many AI uncertainty for...
Nic Wilson
EUROSSC
2009
Springer
15 years 9 months ago
Using Dempster-Shafer Theory of Evidence for Situation Inference
Abstract. In the domain of ubiquitous computing, the ability to identify the occurrence of situations is a core function of being ’contextaware’. Given the uncertain nature of ...
Susan McKeever, Juan Ye, Lorcan Coyle, Simon A. Do...
AAAI
2011
14 years 6 months ago
Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff!
Utility elicitation is an important component of many applications, such as decision support systems and recommender systems. Such systems query users about their preferences and ...
Paolo Viappiani, Craig Boutilier