2023 International Conference on the Cooperation and Integration of Industry, Education, Research and Application (Chongqing)
New Generation of Information Technology Working Conference

The 9th International Conference on Fuzzy Systems and Data Mining (FSDM 2023)

Abstract: Dominance-based rough approximation discovers inconsistencies from ordered criteria and satisfies the requirement of dominance principle between single-valued domains of condition attributes and decision classes. When the ordered decision system is no longer single-valued, how to utilize the dominance principle to deal with multi-valued ordered data is a promising research direction, and it is the most challenging step to design feature selection algorithm in interval-valued ordered decision system (IV-ODS). In this paper, we first present novel thresholds of interval dominance degree (IDD) and interval overlap degree (IOD) between interval values to make the dominance principle applicable to an IV-ODS, then the interval-valued dominance relation in the IV-ODS is constructed by utilizing the above two developed parameters. Based on the proposed interval-valued dominance relation, the interval-valued dominance-based rough set approach (IV-DRSA) and their corresponding properties are investigated. Moreover, the interval dominance-based feature selection rules based on IV-DRSA are provided, and the relevant algorithms for deriving the interval-valued dominance relation and the feature selection methods are established in IV-ODS. To illustrate the effectiveness of the parameters variation on feature selection rules, experimental evaluation is performed using twelve datasets coming from the University of California-Irvine (UCI) repository.

Biography: Dr. Wentao Li received the Ph.D degree from the Department of Mathematics, Harbin Institute of Technolofy, Harbin, in 2019. From 2016 to 2018, he was a Joint Ph.D Student with the University of Alberta, Edmonton. He is currently with the College of Artificial Intelligence, Southwest University, Chongqing. His current research interests include granular computing modeling and uncertainty measurement theory and applications. In recent years, he has published over 40 articles in international journals such as IEEE TCYB, IEEE TFS, IEEE TNNLS, IEEE TCE, FSS, INS, AIRE, IJAR, and many others. Among them, 4 papers have been selected as “ESI Highly Cited Paper”, and 2 papers have been selected as “ESI Hot paper”. He has been the eight project leaders for National Natural Foundation of China, Postdoctoral Science Foundation of China, National Natural Foundation of Chongqing, Chongqing Municipal Education Commission Science and Technology Innovation projects. He served as the Associate Editor of Discover Artificial Intelligence, the Editorial Board of Computers, Materials & Continua, Decision Science and Management.