Proceedings of the 2015 International conference on Applied Science and Engineering Innovation

Research on Multi-attribute Decision Making Model Based on Possible Regret Degree of Policy-maker

Authors
Yan Li
Corresponding Author
Yan Li
Available Online May 2015.
DOI
10.2991/asei-15.2015.168How to use a DOI?
Keywords
Multi-attribute Decision Making, Plus Regret Degree, Regret Degree Threshold
Abstract

This article will conduct the research to this question, in order to portray the decision-makers dilemma in the decision-making process under the uncertain condition, this paper defines the following concept: policy-makers plus regret degree, policy-makers negative regret degree and policy-makers weighted combination regret degree. According to the different thresholds of policy-makers plus regret degree, policy-makers negative regret degree and policy-makers weighted combination regret degree, respectively determine the best plan and construct the optimal decision results table, policy-makers according to their preference situation can query this table and select the most excellent plan suited to their own situation.

Copyright
© 2015, 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 2015 International conference on Applied Science and Engineering Innovation
Series
Advances in Engineering Research
Publication Date
May 2015
ISBN
10.2991/asei-15.2015.168
ISSN
2352-5401
DOI
10.2991/asei-15.2015.168How to use a DOI?
Copyright
© 2015, 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  - Yan Li
PY  - 2015/05
DA  - 2015/05
TI  - Research on Multi-attribute Decision Making Model Based on Possible Regret Degree of Policy-maker
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 856
EP  - 860
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.168
DO  - 10.2991/asei-15.2015.168
ID  - Li2015/05
ER  -