Innovations and Info-Gaps: An Overview

Affiliation auteursAffiliation ok
TitreInnovations and Info-Gaps: An Overview
Type de publicationConference Paper
Year of Publication2017
AuteursBen-Haim Y, Cogan S
EditorBarthorpe R, Platz R, Lopez I, Moaveni B, Papadimitriou C
Conference NameMODEL VALIDATION AND UNCERTAINTY QUANTIFICATION, VOL 3
PublisherSoc Expt Mech; IMAC
Conference LocationGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
ISBN Number978-3-319-54858-6; 978-3-319-54857-9
Mots-clésdecision making, Info-gap theory, Innovation dilemma, Opportuneness, robustness, Uncertainty
Résumé

Info-gap theory is a method for modeling and managing severe uncertainty and for prioritizing the options facing a decision maker. We consider uncertainty both in parameters and in the shape of functions. The analysis reveals intuitively meaningful concepts: the trade off between robustness and requirements, cost of robustness, zero robustness of predicted outcomes, innovation dilemmas, preference reversals resulting from uncertainty, and opportuneness from uncertainty. These insights underlie decision making under severe uncertainty. We consider an example of modeling a mechanical system.

DOI10.1007/978-3-319-54858-6_25