Title: Special Session on Fuzzy Interpolation
Abstract: This proposal is to organise a special session, on fuzzy interpolation, at FUZZ-IEEE 2022 under WCCI 2022, to be held in Padova, Italy. It is set as a continuation of the similar sessions that have been successfully, and consecutively, run over each of the many past FUZZ-IEEEs, co-organised by the proposers (who both have served as the General Chair of a past FUZZ-IEEE). The session will have an interest to the general audience of WCCI, beyond the immediate boundary of FUZZ-IEEE. An international programme committee has been organised, with a good number of established researchers having committed to providing rigorous reviews of any forthcoming submissions.
Fuzzy interpolation and extrapolation; Fuzzy rule interpolation; Fuzzy model simplification.
Special session description:
Fuzzy interpolation provides a flexible means to perform reasoning in the presence of insufficient knowledge that is represented as a sparse fuzzy rule base. It enables approximate inference to be carried out from a rule base that does not cover a given observation. Fuzzy interpolation also provides a way to simplify complex-system models and/or the process of fuzzy rule generation. It allows the reduction of the number of rules needed, thereby speeding up parameter optimisation and runtime efficiency.
The aim of this special session is to provide a forum that helps address the following objectives:
- To disseminate and discuss recent and significant research efforts in the development of fuzzy interpolation and related techniques,
- To promote both theoretical and practical applications of fuzzy interpolation, and
- To foster integration of fuzzy interpolation with other computational intelligence techniques.
The topics of this special session will include but are not limited to:
- Fuzzy interpolation
- Fuzzy extrapolation
- Fuzzy interpolative learning
- Fuzzy systems simplification
- Fuzzy set transformation
- Fuzzy set representation
- Fuzzy interpolation application
- Fuzzy function approximation
- Hybrid fuzzy interpolation systems
- Comparative studies of interpolation methods
- Interpolative reasoning for explanation of deep learning
Description of target audience and estimated number of participants:
Given the range of topics to be covered, this special session will attract academics, research students and practitioners in the relevant areas within WCCI (e.g., deep learning in IJCNN and optimisation in CEC), not just FUZZ-IEEE. Historically, it has had a sufficient number of papers submitted to form an independent session (or two), typically with more than 40 people attending at a standalone FUZZ-IEEE event.
List of committed program committee members:
Dr Tossapon Boongoen, Mae Fah Luang University, Thailand
Prof. Shyi-Ming Chen, National Taiwan University of Science and Technology, Taiwan
Dr Tianhua Chen, University of Huddersfield, UK
Dr. Shangzhu Jin, Chongqing University of Science and Technology, China
Prof. Laszlo T. Koczy, Szechenyi Istvan University, Hungary
Dr Fangyi Li, Beijing Normal University, China
Prof. Ying Li, Northwestern Polytechnical University, China
Prof. Qiang Shen, Aberystwyth University, UK
Prof. Longzhi Yang, Northumbria University, UK
Prof. Irina Perfilieva, Czechia
Short biographical sketch for each organizer:
Name: Laszlo T. Koczy
Email address: email@example.com
Affiliation: Szechenyi Istvan University, Hungary
Name: Qiang Shen
Email address: firstname.lastname@example.org
Affiliation: Aberystwyth University, UK
Short Biography of Organizers:
Both proposers have co-organised a good number of special sessions on fuzzy interpolation, and Both proposers have co-organised a good number of special sessions on fuzzy interpolation, and both have served as General Chair, Technical Topic Chair, Poster Chair, etc. at previous FUZZ-IEEEs.
Laszlo T. Koczy is a Professor at Szechenyi Istvan University (SZE, Gyor) and Budapest University of Technology and Economics (BME), Hungary. He has a PhD and a DSc, both in Electrical/Control Engineering. He is the 2020 recipient of the IEEE CIS Fuzzy Systems Pioneer Award. Among others, he was an associate editor of IEEE Transactions on Fuzzy Systems and is now of Fuzzy Sets and Systems, International Journal of Fuzzy Systems, Journal of Advanced Computational Intelligence, Soft Computing and International Journal of Fuzzy Systems. He has chaired and given keynote lectures at many prestigious international and national conferences, including as the General Chair of FUZZ-IEEE 2004. He served in the International Fuzzy Systems Association as President, and has been Administrative Committee member of IEEE Computational Intelligence Society for two cycles and another two cycles a member of the IEEE Systems Council. He has published about 750 refereed papers and several text books on the subject and his h-factor is 39. At SZE he is the President of the University Doctoral and Research Councils, and he has been appointed member of the Hungarian Accreditation Board for Higher Education by the Prime Minister, where he chairs several panels, and he is a member of the (Hungarian) National Doctoral Council.
Qiang Shen holds the Established Chair of Computer Science and is Pro Vice-Chancellor for Faculty of Business and Physical Sciences at Aberystwyth University, UK. He has a PhD in Knowledge-Based Systems (1990) and a DSc in Computational Intelligence (2013). He has served for a sustained period as an associate editor of two IEEE flagship Journals (Cybernetics and Fuzzy Systems) and as an editorial board member of several other leading international periodicals (e.g., Fuzzy Sets and Systems). He has chaired and given keynote lectures at numerous prestigious international and national conferences, including serving as the General Chair of FUZZ-IEEE 2007. He has authored 2 research monographs and well over 400 peer-reviewed papers, including an Outstanding Transactions Paper Award from IEEE. He has first-supervised over 70 PDRAs/PhDs, including one UK Distinguished PhD Dissertation Award winner.