Open AccessDECISION MAKING UNDER UNCERTAINTY USING A VEHICLE MULTILEVEL MODEL: APPROACH TO TARGETS ALLOCATION
Author(s) -
Abderrahim Chokri,
JeanYves Trépanier,
Christophe Tribes
Publication year - 2011
Publication title -
proceedings of the ... ceea conference
Language(s) - English
Resource type - Journals
ISSN - 2371-5243
DOI - 10.24908/pceea.v0i0.3675
Subject(s) - computer science , decision tree , tree (set theory) , multilevel model , hierarchical database model , operations research , tree structure , machine learning , data mining , artificial intelligence , data structure , mathematics , mathematical analysis , programming language
In this paper, we consider setting performance targets for a vehicle design. The vehicle is modeled by a multilevel hierarchical tree structure. We have considered that each leaf of the structure may have several characteristics, and that for each characteristic a target is defined. Experts’ opinions are expressed with uncertainty regarding the feasibility of achieving these targets. Experts’ opinions are given in the form of intervals associated with their subjective beliefs for the possible values of characteristics. The collected information is propagated in the model to determine the plausibility and the belief for characteristics at the vehicle level. Using this information, five target allocation approaches are discussed which can be applied to three vehicle design strategies.