Proceedings of the 3d International Conference on Applied Social Science Research

Research on Multiple-Objectives Stochastic Dominance for Multiple Attribute Decision Making

Authors
Lei Wang
Corresponding Author
Lei Wang
Available Online August 2016.
DOI
https://doi.org/10.2991/icassr-15.2016.278How to use a DOI?
Keywords
multiple attribute decision making; stochastic dominance degree; attribute hierarchical model; multiple purpose decision making
Abstract
In view of multiple attribute decision making with random variables, in order to highlight research of multiple-objectives decision making, a method of decision making of stochastic dominance for the ranking of alternatives with multiple purpose based on Attribute Hierarchical Model is presented in this paper. In the basis of survey of present research of stochastic dominance method for stochastic multiple attribute decision making and analysis of stochastic dominance method and attribute hierarchical model, feasibility and concrete algorithm are pointed out for employing attribute hierarchical model in the stage of the ranking of alternatives based on dominance degree matrix of pairs of alternatives of every random attribute. The feasibility and validity of the proposed method are illustrated by a numerical example.
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Proceedings
3d International Conference on Applied Social Science Research (ICASSR 2015)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2016
ISBN
978-94-6252-148-3
ISSN
1951-6851
DOI
https://doi.org/10.2991/icassr-15.2016.278How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Lei Wang
PY  - 2016/08
DA  - 2016/08
TI  - Research on Multiple-Objectives Stochastic Dominance for Multiple Attribute Decision Making
BT  - 3d International Conference on Applied Social Science Research (ICASSR 2015)
PB  - Atlantis Press
SP  - 1022
EP  - 1025
SN  - 1951-6851
UR  - https://doi.org/10.2991/icassr-15.2016.278
DO  - https://doi.org/10.2991/icassr-15.2016.278
ID  - Wang2016/08
ER  -