On the compatibility of uncertainty formalisms in multi-objective optimization
2014 (English)In: DSS 2.0: supporting decision making with new technologies / [ed] Gloria Phillips-Wren, Sven Carlsson, Ana Respício, Patrick Brézillon, Amsterdam: IOS Press, 2014, 48-58 p.Conference paper (Refereed)
Multi-objective optimization is a way to manage multiple objectives in analytical decision support systems. However, for real-life problems, different types of uncertainty often become prominent when defining the model. In this paper, we analyze these different types of uncertainties and suggest a suitable typology for a decision process based upon multi-objective optimization models. Uncertainty analysis can be performed based on the proposed typology; therefore, this analysis provides the necessary support for a decision maker in the identification the crucial uncertainty in the decision process.
Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2014. 48-58 p.
, Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389 ; 262
Research subject Computer and Systems Sciences
IdentifiersURN: urn:nbn:se:su:diva-108641DOI: 10.3233/978-1-61499-405-3-48ISI: 000350149800005ISBN: 978-1-61499-404-6ISBN: 978-1-61499-405-3OAI: oai:DiVA.org:su-108641DiVA: diva2:759834
KES International Conference on Smart Digital Futures (SDF), Chania, Greece, June 18-20, 2014