The question of how to aggregate structural uncertainties of multiple variables to determine the group preference, on the basis of the complexity of group decision-making, is a problem that urgently waits for a resolution. This book expresses the complexity existing in each group decision-making process by employing complex networks and studying various methods of aggregating preference information from various unascertained, time-series based decision-making groups' structures. It covers the decision-making mechanism of unascertained preference information, aggregation of unascertained preference information, and various methods of aggregating preference information in dynamic environments.
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Dr. Jianjun Zhu holds a Ph.D. degree in information science and systems engineering and is currently an associate professor at NUAA. His primary interests of research are in the theories of group decision-making, multi-attribute decision-making and complicated decision-making. He has completed two National Natural Science Foundation projects, one State 863 Program CIMS project, and one national defense research project, as a major participant. Moreover, he has completed a cooperation project of the Shanghai Baosteel Company, and managed the postdoctoral research fund projects of Chinese post-doctoral research projects in Jiangsu Province. Dr. Zhu has published more than 20 research papers in the Journal of Systems Engineering, Management Science Journal, Control and Decision-Making, and Systems Engineering Theory and Practice.
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