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Mathematics - Applications | Intuitionistic Fuzzy Information Aggregation - Theory and Applications

Intuitionistic Fuzzy Information Aggregation

Theory and Applications

Xu, Zeshui, Cai, Xiaoqiang

Jointly published with Science Press

2013, XI, 309 p.

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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

Related subjects » Applications - Artificial Intelligence - Computational Intelligence and Complexity - Computational Science & Engineering

Table of contents 

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.         

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Distribution rights in China: Science Press

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