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First monograph published on intuitionistic fuzzy information aggregation theory and applications
Presents a comprehensive and in-depth knowledge of the latest research results
Offers numerous practical examples for better understanding of the described theory and methods
"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.
Content Level »Research
Keywords »Aggregation operator - Clustering algorithm - Intuitionistic fuzzy set - Intuitionistic preference relation - Multi-attribute decision making
Intuitionistic Fuzzy Information Aggregation.- Interval-Valued Intuitionistic Fuzzy Information Aggregation.- The Correlation, Distance and Similarity Measures of Intuitionistic Fuzzy Sets.- Intuitionistic Fuzzy Clustering Algorithms.- The Decision-Making Models and Approaches Based on Intuitionistic Preference Relations.- Projection Models-Based Approaches to Intuitionistic Fuzzy Multi-Attribute Decision-Making.- Dynamic Intuitionistic Fuzzy Multi-Attribute Decision-Making.- Nonlinear Optimization Models for Multiple Attribute Group Decision Making with Intuitionistic Fuzzy Information.