Intuitionistic Fuzzy Information Aggregation: Theory and Applications

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Springer Science & Business Media, Feb 20, 2013 - Business & Economics - 309 pages

"Intuitionistic Fuzzy Information Aggregation: Theory and Applications" is the first book to provide a thorough and systematic introduction to intuitionistic fuzzy aggregation methods, the correlation, distance and similarity measures of intuitionistic fuzzy sets and various decision-making models and approaches based on the above-mentioned information processing tools. Through numerous practical examples and illustrations with tables and figures, it offers researchers and professionals in the fields of fuzzy mathematics, information fusion and decision analysis the most recent research findings, developed by the authors.

Zeshui Xu is a Professor at the PLA University of Science and Technology, China. Xiaoqiang Cai is a Professor at the Chinese University of Hong Kong, China.

 

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Contents

Chapter 1 Intuitionistic Fuzzy Information Aggregation
1
Chapter 2 IntervalValued Intuitionistic Fuzzy Information Aggregation
103
Chapter 3 Correlation Distance and Similarity Measures of Intuitionistic Fuzzy Sets
150
Chapter 4 Decision Making Models and Approaches Based on Intuitionistic Preference Relations
189
Chapter 5 Projection ModelBased Approaches to Intuitionistic Fuzzy MultiAttribute Decision Making
249
Chapter 6 Dynamic Intuitionistic Fuzzy MultiAttribute Decision Making
259
Chapter 7 Nonlinear Optimization Models for MultiAttribute Group Decision Making with Intuitionistic Fuzzy Information
285
Index
305
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