"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.
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Number of pages: 309
Weight: 499 g
Dimensions: 235 x 155 x 20 mm
Edition: 2013 ed.
From the reviews:
"The authors give a thorough and systematic introduction to the latest research results in intuitionistic fuzzy information aggregation theory and its applications to various fields as decision making, medical diagnosis and pattern recognition, etc. ... Each chapter ends with a selective bibliography. ... The book is suitable for practitioners and researchers working in the field of fuzzy mathematics, operations research, information science and management science and engineering, etc, or as a textbook for postgraduate and senior-year undergraduate students." (I. M. Stancu-Minasian, Zentralblatt MATH, Vol. 1253, 2013)