Hesitant Fuzzy Decision Making Methodologies and Applications / Uncertainty and Operations Research (PDF)

Huchang Liao is an associate research fellow at Sichuan University, in Chengdu, China. He was an academic visitor at the School of Computer Science, University of Manchester, UK. He was an Endeavour Research Fellow at the University of Technology Sydney in 2015. He has published one book and more than 40 peer-reviewed papers, many in high-quality international journals including IEEE Transactions on Fuzzy Systems, Information Sciences, Knowledge-Based Systems, Applied Soft Computing, Expert Systems with Applications, etc. Ten of his papers have been selected as ESI highly cited papers. His current research interests include group decision-making, computing with words, information fusion, and multiple criteria decision-making under uncertainty. Dr. Liao is the Associate Editor of the International Journal of Fuzzy Systems, and serves as a reviewer for more than 40 international journals. His biographical profile has been selected for inclusion in the Marquis Who's Who in the World in 2015 and 2016.
Zeshui Xu is a Distinguished Young Scholar of the National Natural Science Foundation of China and the Chang Jiang Scholars of the Ministry of Education of China. He is currently a professor with the Business School, Sichuan University, Chendu, China. He has been selected as a 2014 and 2015 Thomson Reuters Highly Cited Researcher (in the fields of Computer Science and Engineering, respectively) and also included in The World's Most Influential Scientific Minds 2014. His h-index is 87, and he has authored the following books: Uncertain Multiple Attribute Decision-making: Methods and Applications (Tsinghua Univ. Press, 2004); Intuitionistic Fuzzy Information Aggregation: Theory and Applications (Science Press and Springer, 2012), Linguistic Decision-making: Theory and Methods (Science Press and Springer, 2012); Intuitionistic Fuzzy Preference Modeling and Interactive Decision-making (Springer, 2013); Intuitionistic Fuzzy Aggregation and Clustering (Springer, 2013); and