The authors would like to express their appreciation to the anonymous reviewers and Editor for their constructive comments which improved the quality of the paper. The authors are grateful for the financial support supplied by the National Natural Science Foundation of China (71471087, 71071076 and 61673209), a Discovery Grant from the National Sciences and Engineering Research Council of Canada,and the Ministry of Education Humanities and Social Science Planning Foundation of China (18YJA630128).
Sensitivity analyses based on an algebraic representation in the graph model for conflict resolution (GMCR) are generalized for ascertaining the robustness of stability results by varying decision makers' preference r...
the National Natural Science Foundation of China(71471087,71071076,and 61673209).
This paper constructs a dynamic conflict model that considers Decision Makers'(DMs)evolutional attitude using the option prioritization.The proposed evolutional attitude approach is based on the framework of the Graph...
supported by the National Natural Science Foundation of China (Nos. 71471087, 71071076, 61673209);the Funding for Outstanding Doctoral Dissertation in Nanjing University of Aeronautics and Astronautics (No. BCXJ17-11);the Research and Innovation Program for Graduate Education of Jiangsu Province (No. KYZZ160145)
To reduce the uncertainty and reworks in complex projects,a novel mechanism is systematically developed in this paper based on two classical design structure matrix(DSM)clustering methods:Loop searching method(LSM)and...