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E-mail address. Tackling the question of how to effectively aggregate uncertain preference information in multiple structures given by decision-making groups, Theory and Approaches of Unascertained Group Decision-Making focuses on group aggregation methods based on uncertainty preference information.
It 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. Written by Jianjun Zhu, director of the Chinese Society for Optimization, Overall Planning, and Economic Mathematics, the book starts by examining case studies of group decision making.
It discusses consistency measuring and ranking methods of interval number reciprocal judgment matrix and interval number complementary judgment matrix. Next, it presents an unascertained number preference and a three-point interval number preference.
Investigating linguistic preferences, the text provides two consistencies definitions. It considers the aggregating methods of several uncertain preferences as well as the multistage aggregating model of uncertain preference. Jianjun Zhu holds a Ph.
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His primary interests of research are in the theories of group decision-making, multi-attribute decision-making and complicated decision-making. 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. See All Customer Reviews. Shop Books. Read an excerpt of this book! Add to Wishlist. USD Sign in to Purchase Instantly. Overview Tackling the question of how to effectively aggregate uncertain preference information in multiple structures given by decision-making groups, Theory and Approaches of Unascertained Group Decision-Making focuses on group aggregation methods based on uncertainty preference information.
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