EconPapers    
Economics at your fingertips  
 

Augmenting Ordinal Methods of Attribute Weight Approximation

Mats Danielson (), Love Ekenberg () and Ying He ()
Additional contact information
Mats Danielson: Department of Computer and Systems Sciences, Stockholm University, SE-164 40 Kista, Sweden
Love Ekenberg: Department of Computer and Systems Sciences, Stockholm University, SE-164 40 Kista, Sweden
Ying He: Department of Management Sciences, City University of Hong Kong, Kowloon, G7722 Hong Kong

Decision Analysis, 2014, vol. 11, issue 1, 21-26

Abstract: Multicriteria decision aid (MCDA) methods have been around for quite some time. However, the elicitation of preference information in MCDA processes and the lack of supporting practical means are problematic in real-life applications. Various proposals have been made for how to eliminate some of the obstacles and methods for introducing so-called surrogate weights have proliferated in the form of ordinal ranking methods for criteria weights. Considering the decision quality, one main problem is that the input information allowed in ordinal methods is sometimes too restricted. At the same time, decision makers often possess more background information, for example, regarding the relative strengths of the criteria, and might want to use that. We propose combined methods for facilitating the elicitation process and show how this provides a way to use partial information from the strength of preference judgment over weights in assessing weights for multiattribute utility functions.

Keywords: multicriteria decision analysis; criteria weights; criteria ranking; rank order (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4) Track citations by RSS feed

Downloads: (external link)
http://dx.doi.org/10.1287/deca.2013.0289 (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:ordeca:v:11:y:2014:i:1:p:21-26

Access Statistics for this article

More articles in Decision Analysis from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Matthew Walls ().

 
Page updated 2019-05-29
Handle: RePEc:inm:ordeca:v:11:y:2014:i:1:p:21-26