TY - BOOK ID - 8359161 TI - Hesitant Fuzzy Sets Theory PY - 2014 SN - 3319047108 3319047116 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Engineering. KW - Operations research. KW - Computational Intelligence. KW - Operations Research, Management Science. KW - Operation Research/Decision Theory. KW - Fuzzy sets KW - Engineering & Applied Sciences KW - Computer Science KW - Sets, Fuzzy KW - Operational analysis KW - Operational research KW - Construction KW - Decision making. KW - Management science. KW - Computational intelligence. KW - Fuzzy sets. KW - Fuzzy mathematics KW - Set theory KW - Operations Research/Decision Theory. KW - Industrial engineering KW - Management science KW - Research KW - System theory KW - Industrial arts KW - Technology KW - Deciding KW - Decision (Psychology) KW - Decision analysis KW - Decision processes KW - Making decisions KW - Management KW - Management decisions KW - Choice (Psychology) KW - Problem solving KW - Quantitative business analysis KW - Operations research KW - Statistical decision KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing KW - Decision making UR - https://www.unicat.be/uniCat?func=search&query=sysid:8359161 AB - This book provides the readers with a thorough and systematic introduction to hesitant fuzzy theory. It presents the most recent research results and advanced methods in the field. These includes: hesitant fuzzy aggregation techniques, hesitant fuzzy preference relations, hesitant fuzzy measures, hesitant fuzzy clustering algorithms and hesitant fuzzy multi-attribute decision making methods. Since its introduction by Torra and Narukawa in 2009, hesitant fuzzy sets have become more and more popular and have been used for a wide range of applications, from decision-making problems to cluster analysis, from medical diagnosis to personnel appraisal and information retrieval. This book offers a comprehensive report on the state-of-the-art in hesitant fuzzy sets theory and applications, aiming at becoming a reference guide for both researchers and practitioners in the area of fuzzy mathematics and other applied research fields (e.g. operations research, information science, management science and engineering) characterized by uncertain ("hesitant") information. Because of its clarity and self contained explanations, the book can also be adopted as a textbook from graduate and advanced undergraduate students. ER -