A Method for Multi-attribute Decision Making Under Uncertainty Using Evidential Reasoning and Prospect Theory

DOI

10.1080/18756891.2015.1129578How to use a DOI?

Keywords

multi-attribute decision making, certitude degree, evidential reasoning, prospect theory

Abstract

In this paper, a method for multi-attribute decision making under uncertainty is proposed, the uncertainty is represented by certitude structure. In fact, there are both quantitative and qualitative attributes with different representation in multi-attribute decision making under uncertainty, so the certitude structure transformation method is the first contribution of this paper. Secondly, the prospect value vector for each alternative on each attribute is calculated based on prospect theory. Thirdly, the combination decision prospect value of each alternative is given according to evidential reasoning approach under certitude degree. Then a ranking of alternatives can be determined using the combination decision prospect values. Finally, two illustration examples are used to illustrate the use of this multi-attribute decision making method, as well as demonstrate its high performance by comparing with the existing approaches.

Copyright

© 2017, 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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TY  - JOUR
AU  - Liuqian Jin
AU  - Xin Fang
AU  - Yang Xu
PY  - 2015
DA  - 2015/12/01
TI  - A Method for Multi-attribute Decision Making Under Uncertainty Using Evidential Reasoning and Prospect Theory
JO  - International Journal of Computational Intelligence Systems
SP  - 48
EP  - 62
VL  - 8
IS  - Supplement 1
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2015.1129578
DO  - 10.1080/18756891.2015.1129578
ID  - Jin2015
ER  -