Ulteriori informazioni
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.
Sommario
Using Condition of Uncertainty Preference Information. Decision Mechanism of Uncertainty Preference Information. Multi Uncertainty Preference Information Consistent-transformation Approach. Aggregation Approach on Multi Style Uncertainty Preference Information. Aggregation of Multi Style Uncertainty Preference Information based on Timing Characteristics. Dynamic Characteristics and Evolution to Group Decision Effect in Decision Environment Disturbance.
Info autore
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.
