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|a 9789812878922
|9 978-981-287-892-2
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|a 10.1007/978-981-287-892-2
|2 doi
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|a Dong, Yucheng.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Consensus Building in Group Decision Making
|h [electronic resource] :
|b Searching the Consensus Path with Minimum Adjustments /
|c by Yucheng Dong, Jiuping Xu.
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|a 1st ed. 2016.
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|a Singapore :
|b Springer Singapore :
|b Imprint: Springer,
|c 2016.
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|a XI, 201 p.
|b online resource.
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|a text
|b txt
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|a 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.
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|a 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.
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|a Information technology.
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|a Business—Data processing.
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|a Operations research.
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|a Decision making.
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|a Social policy.
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|a IT in Business.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/522000
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|a Operations Research/Decision Theory.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/521000
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|a Social Policy.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/W34020
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|a Xu, Jiuping.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9789812878908
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|i Printed edition:
|z 9789812878915
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|i Printed edition:
|z 9789811012839
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|u https://doi.org/10.1007/978-981-287-892-2
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|a Business and Management (SpringerNature-41169)
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|a Business and Management (R0) (SpringerNature-43719)
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