Preference Assessment by Imprecise Ratio Statements

Ahti A. Salo and Raimo P. Hämäläinen
Additional contact information
Ahti A. Salo: Helsinki University of Technology, Espoo, Finland
Raimo P. Hämäläinen: Helsinki University of Technology, Espoo, Finland

Operations Research, 1992, vol. 40, issue 6, 1053-1061

Abstract: The PAIRS method developed in this paper introduces imprecise preference statements into value trees. The assessment of attribute weights in PAIRS extends the well known SMART technique so that in addition to exact statements the decision maker can enter interval judgments which indicate ranges for the relative importance of the attributes. The interval judgments and the possibly range-valued information about the outcomes of the alternatives are processed with linear programming into value intervals and dominance relations. As the decision maker refines the description of his preferences, either by entering new statements or by tightening his earlier judgments, these results become more detailed and convey more information about which alternatives are preferred. Throughout the interactive refinement process PAIRS supports the decision maker by deriving and displaying the consequences of his earlier judgments.

Keywords: decision analysis; theory; ambiguous preferences in value trees; utility/preference; multiattribute; ambiguous preferences in value trees (search for similar items in EconPapers)
Date: 1992
References: Add references at CitEc
Citations: View citations in EconPapers (55)

Downloads: (external link)
http://dx.doi.org/10.1287/opre.40.6.1053 (application/pdf)

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:inm:oropre:v:40:y:1992:i:6:p:1053-1061

Access Statistics for this article

More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().