Multiattribute decision analysis using strict preference relations

Ichiro Nishizaki (), Tomohiro Hayashida and Masakazu Ohmi
Additional contact information
Ichiro Nishizaki: Hiroshima University
Tomohiro Hayashida: Hiroshima University
Masakazu Ohmi: Hiroshima University

Annals of Operations Research, 2016, vol. 245, issue 1, No 19, 379-400

Abstract: Abstract To identify multiattribute utility functions under the assumption of the mutual utility independence, a decision maker must specify indifference points and subjective probabilities precisely. By relaxing this rigorous evaluation, multiattribute value models with incomplete information have been developed. In this paper, we present a new method finding the best alternative through strict preference relations derived from the decision maker by asking questions that are relatively easy to answer compared to the indifference questions. In our method, alternatives consistent with the derived strict preference relations are obtained by solving mathematical programming problems with constraints representing the preference relations, and eventually we can find the most preferred alternative by deriving additional preference relations.

Keywords: Multiattribute utility function; Strict preference relation; Incomplete information; Mathematical programming problem (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10479-014-1680-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:245:y:2016:i:1:d:10.1007_s10479-014-1680-9

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-014-1680-9

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().