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Theory and Approaches of Unascertained Group Decision-Making.

Theory and Approaches of Unascertained Group Decision-Making.

・ISBN 978-1-4200-8750-5 2013 hard GB£ 145.99

¥46,249.- (税込) (※)価格はご注文時の参考価格となります。
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・ISBN 978-1-138-19898-2 2016 paper GB£ 51.99

¥16,470.- (税込) (※)価格はご注文時の参考価格となります。
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電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 978-0-429-13466-1

著者・編者Zhu, Jianjun,
シリーズSystems Evaluation, Prediction, and Decision-Making
出版社(Auerbach, US)
ページ数258 pp.
言語ENG
ニュース番号<000-97581>

解説

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. The final chapter proposes an aggregating model of multistage linguistic information based on TOPSIS.

The research in this book is supported by a number of scientific foundations from the People's Republic of China, including the National Natural Science Foundation of China; the Social Science Foundation of China, Jiangsu Province; and the Soft Science Foundation of China.