Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)

A Computational Modeling Account of Preference Reversal in Multi-attribute Decision Making

Authors
Feng Gao
Corresponding Author
Feng Gao
Available Online March 2018.
DOI
10.2991/mmsa-18.2018.17How to use a DOI?
Keywords
preference reversal; choice and matching; multi-attribute decision making; dynamic decision models
Abstract

In multi-attribute decision making, attribute conflict and indetermination preference of the decision maker often give rise to preference reversal, which is a marked discrepancy between the preferences derived from choice and from matching judgments, thus violating traditional decision theories. To account for such effect, a computational model of preference reversal in multi-attribute decision making is developed. The simulation results show that the model captures several consistent empirical findings.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
10.2991/mmsa-18.2018.17
ISSN
1951-6851
DOI
10.2991/mmsa-18.2018.17How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Feng Gao
PY  - 2018/03
DA  - 2018/03
TI  - A Computational Modeling Account of Preference Reversal in Multi-attribute Decision Making
BT  - Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
PB  - Atlantis Press
SP  - 74
EP  - 77
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmsa-18.2018.17
DO  - 10.2991/mmsa-18.2018.17
ID  - Gao2018/03
ER  -