HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Improving Probabilistic Rules Compilation using PRM

Abstract : Widely adopted for more than 20 years in industrial fields, business rules offer the opportunity to non-IT users to define decision-making policies in a simple and intuitive way. To facilitate their use, systems known as Business Rule Management Systems have been developed , separating the business logic from the application one. While suitable for processing structured and complete data, BRMS face difficulties when those are incomplete or uncertain. This study proposes a new approach for the integration of probabilistic reasoning in IBM Operational Decision Manager (ODM), IBMs BRMS, especially through the introduction of a notion of risk, making the compilation phase more complex but increasing the expressiveness of business rules.
Document type :
Conference papers
Complete list of metadata

Cited literature [15 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01974983
Contributor : Gaspard Ducamp Connect in order to contact the contributor
Submitted on : Wednesday, January 9, 2019 - 10:40:32 AM
Last modification on : Tuesday, January 4, 2022 - 3:56:27 AM

File

paper2.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01974983, version 1

Citation

Gaspard Ducamp, Philippe Bonnard, Christian de Sainte Marie, Christophe Gonzales, Pierre-Henri Wuillemin. Improving Probabilistic Rules Compilation using PRM. RuleML+RR Doctoral Consortium 2018 (2nd International Joint Conference on Rules and Reasoning ), Sep 2018, Esch-sur-Alzette, Luxembourg. ⟨hal-01974983⟩

Share

Metrics

Record views

86

Files downloads

43