loading
Papers Papers/2020

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Carmen Gervet 1 and Sylvie Galichet 2

Affiliations: 1 LISTIC, France ; 2 University of Savoie, France

ISBN: 978-989-758-095-6

Abstract: In this project we address the problem of modelling and solving constraint based problems permeated with data uncertainty, due to imprecise measurements or incomplete knowledge. It is commonly specified as bounded interval parameters in a constraint problem. For tractability reasons, existing approaches assume independence of the data, also called parameters. This assumption is safe as no solutions are lost, but can lead to large solution spaces, and a loss of the problem structure. In this paper we present two approaches we have investigated in the El MUNDO project, to handle data parameter dependencies effectively. The first one is generic whereas the second one focuses on a specific problem structure. The first approach combines two complementary paradigms, namely constraint programming and regression analysis, and identifies the relationships between potential solutions and parameter variations. The second approach identifies the context of matrix models and shows how dependency c onstraints over the data columns of such matrices can be modeled and handled very efficiently. Illustrations of both approaches and their benefits are shown. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.215.77.193

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Gervet, C. and Galichet, S. (2015). El MUNDO: Embedding Measurement Uncertainty in Decision Making and Optimization. In European Project Space on Intelligent Systems, Pattern Recognition and Biomedical Systems - EPS Lisbon, ISBN 978-989-758-095-6, pages 70-89. DOI: 10.5220/0006162500700089

@conference{eps lisbon15,
author={Carmen Gervet. and Sylvie Galichet.},
title={El MUNDO: Embedding Measurement Uncertainty in Decision Making and Optimization},
booktitle={European Project Space on Intelligent Systems, Pattern Recognition and Biomedical Systems - EPS Lisbon,},
year={2015},
pages={70-89},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006162500700089},
isbn={978-989-758-095-6},
}

TY - CONF

JO - European Project Space on Intelligent Systems, Pattern Recognition and Biomedical Systems - EPS Lisbon,
TI - El MUNDO: Embedding Measurement Uncertainty in Decision Making and Optimization
SN - 978-989-758-095-6
AU - Gervet, C.
AU - Galichet, S.
PY - 2015
SP - 70
EP - 89
DO - 10.5220/0006162500700089

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.