The 10th International Conference on Fuzzy Systems and Data Mining (FSDM 2024)

Abstract: Decision making is a ubiquitous activity in the real world, which can be seen as a process of ranking a collection of alternatives or selecting the optimal one(s) from them based on the available information. Multiple attribute decision making (MADM) refers to the decision making process in which alternatives are evaluated by virtue of several attributes, reflecting the performance of alternatives from independent perspectives. The notion of intuitionistic fuzzy soft sets provides an elegant framework for addressing MADM problems in an intuitionistic fuzzy setting. In this talk, we first introduce the history and recent progress of intuitionistic fuzzy multiple attribute decision making. Then some rudiments regarding intuitionistic fuzzy soft sets, order relations and preference structures are recalled. Moreover, we establish an order-theoretic framework for MADM based on weighted intuitionistic fuzzy soft sets. In the proposed scheme, the essence of intuitionistic fuzzy multiple attribute decision making is described as the process of aggregating the initial information expressed as a weighted intuitionistic fuzzy soft set and deriving a preference structure on the universe of alternatives. Illustrative examples are presented to demonstrate the validity and generality of the proposed framework.

Biography: Dr. Feng is currently a full professor and the director of the Department of Applied Mathematics, at Xi'an University of Posts and Telecommunications, Xi'an, China. He received the B.S. and M.S. degrees in mathematics from Northwest University in 2003 and 2006, respectively, and the Ph.D. degree in mathematics from Shaanxi Normal University in 2012. He was a visiting research faculty with the University of California, Los Angeles, USA from 2015 to 2016. He has authored over 50 papers (including 2 ESI Hot Paper and 8 ESI Highly Cited Papers), with over 2800 citations in Web of Science. His research interests include soft computing, granular computing, soft sets, rough sets, fuzzy mathematics, data mining, decision analysis, etc. He serves as an Associate Editor of Granular Computing and an Editorial Board Member of Journal of Mathematics, Annals of Fuzzy Mathematics and Informatics, Annals of Communications in Mathematics, Open Journal of Mathematical Sciences, etc. He has served as a Guest Editor for Journal of Applied Statistics, Mathematical Problems in Engineering, Evolutionary Intelligence, etc. As one of the Top 1% of Reviewers in Cross-Field, he has served for many highly reputed journals, such as including IEEE TFS, IEEE TCYB, IEEE TNNLS, EJOR, INS, JCAM, ASC, KBS, ESWA, etc. As the project leader, he has directed 7 research projects at the national or provincial level. Dr. Feng was honored as the Young Sci-Tech New Star of Shaanxi Province in 2014. He was awarded the University Sci-Tech Prize of Shaanxi Province in 2013, the Sci-Tech Prize of Shaanxi Province in 2014, and the Global Peer Review Award (by Publons) in 2019.