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Abstract

Real-life management decisions are usually made in uncertain environments, and decision support systems that ignore this uncertainty are unlikely to provide realistic guidance. We show that previous approaches fail to provide appropriate support for reasoning about reliability under uncertainty. We propose a new framework that addresses this issue by allowing logical dependencies between constraints. Reliability is then defined in terms of key constraints called “events”, which are related to other constraints via these dependencies. We illustrate our approach on two problems, contrast it with existing frameworks, and discuss future developments.

Keywords

Condition Constraint Uncertain Parameter Constraint Satisfaction Problem Customer Demand Hard Constraint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • S. Armagan Tarim
    • 1
  • Brahim Hnich
    • 2
  • Steven D. Prestwich
    • 1
  1. 1.Cork Constraint Computation CentreUniversity College CorkIreland
  2. 2.Faculty of Computer ScienceIzmir University of EconomicsIzmirTurkey

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