Information Measures for Hesitant Fuzzy Sets and Their Extensions, 1st ed. 2019 Uncertainty and Operations Research Series

This book gives a thorough and systematic introduction to the latest research results on hesitant fuzzy and its extensions decision making theory. It includes five chapters: Hesitant Fuzzy Set and its Extensions, Distance Measures for Hesitant Fuzzy Sets and Their Extensions, Similarity Measures for Hesitant Fuzzy Sets and Their Extensions, Entropy Measures for Hesitant Fuzzy Sets and Their Extensions, and Application of Information Measures in Multiple Criteria Decision Making. These methodologies are also implemented in various fields such as decision making, medical diagnosis, cluster analysis, environmental management, etc. This book is suitable for the engineers, technicians, and researchers in the fields of fuzzy mathematics, operations research, information science and management science and engineering, etc. It can also be used as a textbook for postgraduate and senior-year undergraduate students of the relevant professional institutions of higher learning.

Chapter1 Hesitant Fuzzy Set and its Extensions.- Chapter2 Distance Measures for Hesitant Fuzzy Sets and Their Extensions.- Chapter3 Similarity Measures for Hesitant Fuzzy Sets and Their Extensions.- Chapter4 Entropy Measures for Hesitant Fuzzy Sets and Their Extensions.- Chapter5 Application of Information Measures in Multiple Criteria Decision Making.

Bahram Farhadinia is an Associate Professor of applied mathematics in Quchan University of Technology, Quchan, Iran. He was an Academic Visitor with the School of Elec Eng, Comp and Math Sci (EECMS), Curtin University, Australia in 2007. He was also an Academic Visitor with the Department of Computer Science and Artificial Intelligence, University of Granada, Spain in 2017. He has published one book in Persian (a textbook for postgraduate students) and more than 35 peer-reviewed papers, many in high-quality international journals including Information Sciences, Knowledge-Based Systems, Soft Computing, Applied Intelligence, International Journal of Fuzzy Systems, Cognitive Computation, etc. Two of his papers have been selected as ESI Highly Cited Papers. His current research interest includes group decision making, information fusion, and multiple criteria decision making under uncertainty. Dr. Farhadinia has received numerous honors and awards, including the 2001 and 2005 Outstanding Graduate awards (Ranked Number One in the university), Iran, Distinguished Researcher Award (QUAT 2011, 2013-2016), etc. Dr. Farhadinia is the deputy of Iranian Fuzzy Systems Society, and the Editor of international journal of Recent Research in Science and Technology, and serves as a reviewer for more than 30 international journals.