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» Interval Methods: An Introduction
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FLAIRS
2000
13 years 10 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
IIS
2000
13 years 10 months ago
Optimization and Interpretation of Rule-based Classifiers
Machine learning methods are frequently used to create rule-based classifiers. For continuous features linguistic variables used in conditions of the rules are defined by membershi...
Wlodzislaw Duch, Norbert Jankowski, Krzysztof Grab...
IJCAI
1993
13 years 10 months ago
Second Order Measures for Uncertainty Processing
Uncertainty processing methods are analysed from the viewpoint of their sensitivity to small variations of certainty factors. The analysis makes use of the algebraic theory which ...
Zdenek Zdráhal
ADCM
2007
100views more  ADCM 2007»
13 years 9 months ago
An efficient algorithm for the computation of the metric average of two intersecting convex polygons, with application to morphi
Motivated by the method for the reconstruction of 3D objects from a set of parallel cross sections, based on the binary operation between 2D sets termed “metric average”, we de...
Evgeny Lipovetsky, Nira Dyn
CORR
2008
Springer
81views Education» more  CORR 2008»
13 years 9 months ago
Proactive Service Migration for Long-Running Byzantine Fault Tolerant Systems
In this paper, we describe a proactive recovery scheme based on service migration for long-running Byzantine fault tolerant systems. Proactive recovery is an essential method for ...
Wenbing Zhao