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The Effectiveness of Alternative Preference Elicitation Methods in the Analytic Hierarchy Process
Author(s) -
MILLET IDO
Publication year - 1997
Publication title -
journal of multi‐criteria decision analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 47
eISSN - 1099-1360
pISSN - 1057-9214
DOI - 10.1002/(sici)1099-1360(199701)6:1<41::aid-mcda122>3.0.co;2-d
Subject(s) - pairwise comparison , preference elicitation , preference , analytic hierarchy process , computer science , simple (philosophy) , process (computing) , hierarchy , selection (genetic algorithm) , perception , software , estimation , data mining , machine learning , artificial intelligence , statistics , mathematics , operations research , psychology , engineering , systems engineering , philosophy , epistemology , neuroscience , economics , market economy , programming language , operating system
Abstract This study compares alternative preference elicitation methods that are currently available in software implementations of the analytic hierarchy process. For the simple problem used in this study, the elicitation methods may be sorted from least to most accurate as follows: (1) direct estimation, (2) graphical multiple bars, (3) graphical pairwise, (4) numeric pairwise and (5) verbal pairwise. However, the most accurate methods are not the easiest to use. Furthermore, actual accuracy differed substantially from users’ perceptions, indicating a need to assist the users in the selection of an appropriate elicitation method. © 1997 John Wiley & Sons, Ltd.