A Self-Adaptive Selection Weighting Method of Multiple Attribute Group Decision Making
- 10.2991/febm-18.2018.62How to use a DOI?
- Conflict factor; The weighted vector; Adaptive; Threshold; Multi attribute group decision making
To solve the problem of the difficulty for selecting many weighting methods in multiple attribute group decision making, the correlation between subjective and objective weighted vector conflict factor and the assessment result accuracy was analyzed, and then, an adaptive selection algorithm based on conflict threshold was proposed. As verified by the simulation, the results show that the algorithm eliminates the effect on subjective and objective weighted vector conflict to the evaluation result, improves the calculation accuracy, and realizes the self adaptive selection based on conflict threshold. Moreover, when the conflict factor is less than the threshold, adaptive selection algorithm will choose time complexity been lower than integrated weighting method of the multiplicative synthesis principle. On the contrary, when the conflict factor is greater than the threshold, it will choose the combination weighted method of high calculation result accuracy based on game theory.
- © 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 - Xiaobo Bai AU - Jiangang Tian AU - Zheng He AU - Jingfeng Shao PY - 2018/12 DA - 2018/12 TI - A Self-Adaptive Selection Weighting Method of Multiple Attribute Group Decision Making BT - Proceedings of the Third International Conference on Economic and Business Management (FEBM 2018) PB - Atlantis Press SP - 271 EP - 277 SN - 2352-5428 UR - https://doi.org/10.2991/febm-18.2018.62 DO - 10.2991/febm-18.2018.62 ID - Bai2018/12 ER -