Robust Optimization Analysis on Green Manufacturing Process Evaluation Based on Ordinal Interval Preference Information
- DOI
- 10.2991/kam-15.2015.55How to use a DOI?
- Keywords
- green manufacturing process; ordinal interval; robust optimization; mini-max regret criterion.
- Abstract
With regard to the problem of ranking alternatives in green manufacturing process evaluation based on ordinal preference information with uncertain weight vector of attributes, a robust optimization analysis method is proposed. Firstly, the basic concepts and characters of ordinal interval preference information are introduced. Secondly, according to the probability matrix of ordinal preferences, a robust optimization model based on uncertain scenario with mini-max regret criterion is suggested. Then, a group preference gathered from individual preference is obtained by solving the model to acquire an overall robust solution. Finally, a numerical example is given to illustrate the feasibility of the method.
- 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 - Lin Yaqin AU - Guo Chunxiang PY - 2015/06 DA - 2015/06 TI - Robust Optimization Analysis on Green Manufacturing Process Evaluation Based on Ordinal Interval Preference Information BT - Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling PB - Atlantis Press SP - 202 EP - 205 SN - 1951-6851 UR - https://doi.org/10.2991/kam-15.2015.55 DO - 10.2991/kam-15.2015.55 ID - Yaqin2015/06 ER -