Title
Preference ratios in multiattribute evaluation (PRIME)-elicitation and decision procedures under incomplete information
Abstract
This paper presents the preference ratios in multiattribute evaluation (PRIME) method which supports the analysis of incomplete information in multiattribute weighting models. In PRIME, preference elicitation and synthesis is based on 1) the conversion of possibly imprecise ratio judgments into an imprecisely specified preference model, 2) the use of dominance structures and decision rules in deriving decision recommendations, and 3) the sequencing of the elicitation process into a series of elicitation tasks. This process may be continued until the most preferred alternative is identified or, alternatively, stopped with a decision recommendation if the decision maker is prepared to accept the possibility that the value of some other alternative is higher. An extensive simulation study on the computational properties of PRIME is presented. The method is illustrated with a re-analysis of an earlier case study on international oil tanker negotiations
Year
DOI
Venue
2001
10.1109/3468.983411
IEEE Transactions on Systems, Man, and Cybernetics, Part A
Keywords
Field
DocType
incomplete information,prime,decision analysis,decision rules,computational modeling,petroleum,information analysis,decision maker,indexing terms,decision rule,decision theory,delta modulation,set theory
Decision rule,Decision analysis,Decision tree,Weighted product model,Preference elicitation,Computer science,Decision analysis cycle,Weighted sum model,Artificial intelligence,Evidential reasoning approach,Machine learning
Journal
Volume
Issue
ISSN
31
6
1083-4427
Citations 
PageRank 
References 
62
5.08
9
Authors
2
Name
Order
Citations
PageRank
Ahti Salo144534.14
Raimo P. Hämäläinen242146.57