Intuitionistic Fuzzy Information Aggregation
Subtitle: Theory and Applications
By: by Zeshui Xu, Xiaoqiang Cai
Contributors: Cai, Xiaoqiang; SpringerLink (Online service)
Publisher: Springer Berlin Heidelberg; Imprint: Springer
Published: 2012
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] :
Number of pages: 450
ISBN-13: 9783642295843
Subjects: Computational Mathematics and Numerical Analysis; Electronic data processing; Appl.Mathematics/Computational Methods of Engineering; Engineering mathematics; Computer science; Management Science Operations Research; Mathematics; Computing Methodologies
Description: "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.
Table of contents: title: Intuitionistic Fuzzy Information Aggregation; title: Interval-Valued Intuitionistic Fuzzy Information Aggregation; title: The Correlation, Distance and Similarity Measures of Intuitionistic Fuzzy Sets; title: Intuitionistic Fuzzy Clustering Algorithms; title: The Decision-Making Models and Approaches Based on Intuitionistic Preference Relations; title: Projection Models-Based Approaches to Intuitionistic Fuzzy Multi-Attribute Decision-Making; title: Dynamic Intuitionistic Fuzzy Multi-Attribute Decision-Making; title: Nonlinear Optimization Models for Multiple Attribute Group Decision Making with Intuitionistic Fuzzy Information.         .