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Books > Business & Economics > Business & management > Management & management techniques > Management decision making
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Large-Scale Group Decision-Making - State-to-the-Art Clustering and Consensus Paths (Hardcover, 1st ed. 2022)
Loot Price: R3,615
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Large-Scale Group Decision-Making - State-to-the-Art Clustering and Consensus Paths (Hardcover, 1st ed. 2022)
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This book explores clustering operations in the context of social
networks and consensus-reaching paths that take into account
non-cooperative behaviors. This book focuses on the two key issues
in large-scale group decision-making: clustering and consensus
building. Clustering aims to reduce the dimension of a large group.
Consensus reaching requires that the divergent individual opinions
of the decision makers converge to the group opinion. This book
emphasizes the similarity of opinions and social relationships as
important measurement attributes of clustering, which makes it
different from traditional clustering methods with single attribute
to divide the original large group without requiring a combination
of the above two attributes. The proposed consensus models focus on
the treatment of non-cooperative behaviors in the
consensus-reaching process and explores the influence of trust loss
on the consensus-reaching process.The logic behind is as follows:
firstly, a clustering algorithm is adopted to reduce the dimension
of decision-makers, and then, based on the clusters' opinions
obtained, a consensus-reaching process is carried out to obtain a
decision result acceptable to the majority of decision-makers.
Graduates and researchers in the fields of management science,
computer science, information management, engineering technology,
etc., who are interested in large-scale group decision-making and
consensus building are potential audience of this book. It helps
readers to have a deeper and more comprehensive understanding of
clustering analysis and consensus building in large-scale group
decision-making.
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