Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/1158
Title: An interactive approach for multiple criteria selection problem
Authors: Özpeynirci, Özgür
Özpeynirci, Selin
Kaya, Anil
Keywords: Multiple criteria selection problem
Convex cone
Interactive approach
Alternatives
Publisher: Pergamon-Elsevier Science Ltd
Abstract: In this study, we develop an interactive algorithm for the multiple criteria selection problem that aims to find the most preferred alternative among a set of known alternatives evaluated on multiple criteria. We assume the decision maker (DM) has a quasi-concave value function that represents his/her preferences. The interactive algorithm selects the pairs of alternatives to be asked to the DM based on the estimated likelihood that one alternative is preferred to another. After the DM selects the preferred alternative, a convex cone is generated based on this preference information and the alternatives dominated by the cone are eliminated. Then, the algorithm updates the likelihood information for the unselected pairwise questions. The aim of the algorithm is to detect the most preferred alternative by performing as few pairwise comparisons as possible. We present the algorithm on an illustrative example problem. We also develop a mathematical model that finds the minimum number of questions that can be asked to the DM to determine the most preferred alternative under perfect information. We use the minimum number of questions to develop strategies for interactive algorithm and measure its performance. (C) 2016 Elsevier Ltd. All rights reserved.
URI: https://doi.org/10.1016/j.cor.2016.09.007
https://hdl.handle.net/20.500.14365/1158
ISSN: 0305-0548
1873-765X
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File SizeFormat 
175.pdf
  Restricted Access
397.34 kBAdobe PDFView/Open    Request a copy
Show full item record



CORE Recommender

SCOPUSTM   
Citations

13
checked on Nov 6, 2024

WEB OF SCIENCETM
Citations

10
checked on Nov 6, 2024

Page view(s)

150
checked on Nov 11, 2024

Download(s)

8
checked on Nov 11, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.