A probabilistic linguistic dominance score method considering individual semantics and psychological behavior of decision makers

2021 ◽  
pp. 115372
Author(s):  
Shu-Ping Wan ◽  
Wen-Chang Zou ◽  
Jiu-Ying Dong ◽  
Luis Martínez
IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 66442-66458 ◽  
Author(s):  
Ziguo Fu ◽  
Xingli Wu ◽  
Huchang Liao ◽  
Francisco Herrera

2021 ◽  
pp. 1-19
Author(s):  
Yuanxiang Dong ◽  
Xinglu Deng ◽  
Xinyu Hu ◽  
Weijie Chen

Suppliers can be regarded as unavoidable sources of external risks in modern supply chains, which may cause disruption of supply chains. A resilient supplier usually has a high adaptive ability to reduce the vulnerability against disruptions and recover from disruption to keep continuity in operations. This paper develops an effective multi-attribute group decision-making (MAGDM) framework for resilient supplier selection. Because of the many uncertainties in resilient supplier selection, the dual hesitant fuzzy soft sets (DHFSSs), a very flexible tool to express uncertain and complex information of decision-makers, is utilized to cope with it. In order to obtain the resilient supplier’s partial order relationship and consider the psychological behavior of decision-makers, this paper proposes the MAGDM framework with DHFSSs based on the TOPSIS method and prospect theory for resilient supplier selection. Furthermore, we consider the consensus level among experts of different backgrounds and experiences and propose a consensus measure method based dual hesitant fuzzy soft numbers (DHFSNs) before selecting a resilient supplier. The expert weights are calculated by the group consensus level between the expert and the group opinions. Meanwhile, we define the entropy of DHFSSs to determine the attribute weights objectively in the decision-making process. Based on this, the proposed method is applied to a practical manufacturing enterprise with an international supply chain for a resilient supplier selection problem. Finally, by performing a sensitivity analysis and a comparative analysis, the results demonstrate the robustness and validity of the proposed method.


2019 ◽  
Vol 25 (7) ◽  
pp. 673-686 ◽  
Author(s):  
Jielin Yin ◽  
Jian Guo ◽  
Tianmeng Ji ◽  
Jingru Cai ◽  
Lei Xiao ◽  
...  

The project managers’ high efficiency and leadership ability is very important for the success of the whole project. Evaluating the competency of project manager accurately and selecting the suitable project manager from alternatives is a very core research issue that should be paid high attention to in the field of project management. When evaluating the competency of project manager, multiple criteria with interactive relationship should be considered, and the decision makers may have bounded rational behavior which may have a great impact on the result of evaluation, whereas the decision makes’ psychological behavior is rarely taken into account in the existing studies on the evaluation of project managers’ competency. TODIM (an acronym in Portuguese of interactive and multi-criteria decision making) is a multi-criteria decision making method considering the decision makers’ behavior. In this paper, an extended TODIM method which combines λ -fuzzy measure with Choquet integral considering incomplete criteria information and decision makers’ bounded rational behaviors are presented to evaluate the competency of project manager. Furthermore, a numerical example is presented to illustrate the method proposed. We hope that this method can provide some valuable references for the evaluation of project manager’s competency.


2015 ◽  
Vol 2015 (1) ◽  
pp. 10694
Author(s):  
Shuaian Wang ◽  
Zhiyuan Liu ◽  
Xiaobo Qu ◽  
Ying Yang

2020 ◽  
Vol 22 (6) ◽  
pp. 2055-2069
Author(s):  
Huchang Liao ◽  
Jiaying Chang ◽  
Zhiying Zhang ◽  
Xiang Zhou ◽  
Abdullah Al-Barakati

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