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» The Aggregation of Imprecise Probabilities
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ISIPTA
1999
IEEE
114views Mathematics» more  ISIPTA 1999»
13 years 11 months ago
Lower Desirability Functions: A Convenient Imprecise Hierarchical Uncertainty Model
I introduce and study a fairly general imprecise secondorder uncertainty model, in terms of lower desirability. A modeller's lower desirability for a gamble is defined as her...
Gert De Cooman
AAAI
2008
13 years 9 months ago
Revising Imprecise Probabilistic Beliefs in the Framework of Probabilistic Logic Programming
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
Anbu Yue, Weiru Liu
FLAIRS
2000
13 years 8 months ago
A Deterministic Algorithm for Solving Imprecise Decision Problems
Today there are numerous tools for decision analysis, suitable both for human and artificial decision makers. Most of these tools require the decision maker to provide precise num...
Håkan L. S. Younes, Love Ekenberg
CISS
2011
IEEE
12 years 11 months ago
Improving aggregated forecasts of probability
—The Coherent Approximation Principle (CAP) is a method for aggregating forecasts of probability from a group of judges by enforcing coherence with minimal adjustment. This paper...
Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poo...
CORR
2006
Springer
70views Education» more  CORR 2006»
13 years 7 months ago
Scalable Algorithms for Aggregating Disparate Forecasts of Probability
- In this paper, computational aspects of the panel aggregation problem are addressed. Motivated primarily by applications of risk assessment, an algorithm is developed for aggrega...
Joel B. Predd, Sanjeev R. Kulkarni, Daniel N. Oshe...