Theory and Approaches of Unascertained Group Decision-Making

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A01=Jianjun Zhu
advanced decision science applications
Aggregation Method
Aggregation Method of Multiple Stages for Group Decision Making
Author_Jianjun Zhu
C1 C2 C3 C4
Category=KJMD
Category=KJT
Closeness Coefficient
comparison
Comparison Matrix
Complementary Judgment
Completely Consistent
complex networks analysis
Comprehensive Preference
Consistency Degree
Consistent Conversion
Cp Cd
Decision-Making Method of the Linguistic Aggregation Method on Multiple Style
Decision-Making Method of Three-Point Interval Number Comparison Matrix
Decision-Making Method of Unascertained Number Comparison Matrix
dynamic group consensus
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
fuzzy
Fuzzy Numbers
Group Decision
Group Decision Making
Ij Ij
Ij Ij Ij
Ij Ij Ij Ij
ij1
interval
Interval Number
judgment
Judgment Matrices
Judgment Matrix
linguistic decision theory
Linguistic Preference Relation
maker
matrix
multi-criteria evaluation
number
preference
preference aggregation
Preference for Group Decision Making
Preference Information
Satisfactory Consistency
Unascertained Number
uncertain
Uncertain Preference
uncertainty modeling
Weight Calculation Method

Product details

  • ISBN 9781138198982
  • Weight: 490g
  • Dimensions: 156 x 234mm
  • Publication Date: 12 Oct 2016
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

Dr. Jianjun Zhu holds a Ph.D. degree in information science and systems engineering and is currently an associate professor at NUAA. His primary interests of research are in the theories of group decision-making, multi-attribute decision-making and complicated decision-making. He has completed two National Natural Science Foundation projects, one State 863 Program CIMS project, and one national defense research project, as a major participant. 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. Dr. Zhu has published more than 20 research papers in the Journal of Systems Engineering, Management Science Journal, Control and Decision-Making, and Systems Engineering Theory and Practice.

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