Consensus Building in Group Decision Making [electronic resource] : Searching the Consensus Path with Minimum Adjustments / by Yucheng Dong, Jiuping Xu.
Publisher: Singapore : Springer Singapore : Imprint: Springer, 2016Edition: 1st ed. 2016Description: XI, 201 p. 16 illus. in color. online resourceContent type:- text
- computer
- online resource
- 9789812878922
- 650 23
- 658.05 23
- HF54.5-54.56

Preface -- Part I: Introduction -- Group decision making -- Consensus reaching process -- Part II: Consensus models with the minimum adjustments and aggregation operators -- Minimum adjustments consensus models -- Maximum expert consensus models -- Part III: Consensus in the multiple attribute group decision making -- Consensus rule I: minimizing the distance between original and adjusted preferences -- Consensus rule II: minimizing the number of adjusted preference values -- Interactive multiple attribute consensus framework to support consensus reaching -- Part IV: Consensus in the group decision making with preference relations -- Individual consistency issues in preference relations -- Consensus framework with minimum adjustments to integrate the individual consistency -- Part V: Consensus in the linguistic group decision making -- Linguistic consensus model with minimum adjustments -- Minimizing adjusted simple terms in the hesitant linguistic consensus reaching -- Part VI: Simulation experiments and comparison analysis -- Simulation experiments and comparison analysis -- Appendix.
This book is intended for researchers and postgraduates who are interested in the consensus reaching process in group decision-making problems. It puts forward new optimization-based decision support approaches to help decision-makers find roadmaps to consensus with minimum adjustments. Simulation experiments and comparison analysis are subsequently conducted to assess the validity of the proposal. After reading this book, readers will possess a number of valuable tools for building consensus with minimum adjustments in the context of group decision-making. Further, the proposed approach can effectively reduce costs in consensus building.