A Bibliometric Overview of the Field of Type-2 Fuzzy Sets and Systems [Discussion Forum]

Shukla, Amit K.; Kumar Bansal, Sumit; Seth, Taniya; Basu, Aparna; John, Robert; Muhuri, Pranab K.

Abstract

© 2005-2012 IEEE. Fuzzy Sets and Systems is an area of computational intelligence, pioneered by Lotfi Zadeh over 50 years ago in a seminal paper in Information and Control. Fuzzy Sets (FSs) deal with uncertainty in our knowledge of a particular situation. Research and applications in FSs have grown steadily over 50 years. More recently, we have seen a growth in Type-2 Fuzzy Set (T2 FS) related papers, where T2 FSs are utilized to handle uncertainty in realworld problems. In this paper, we have used bibliometric methods to obtain a broad overview of the area of T2 FSs. This method analyzes information on the bibliographic details of published journal papers, which includes title, authors, author address, journals and citations, extracted from the Science and Social Science Citation Indices in the Web of Science (WoS) database for the last 20 years (1997-2017). We have compared the growth of publications in the field of FSs, and its subset T2 FSs, identified highly cited papers in T2 FSs, highly cited authors, key institutions, and main countries with researchers involved in T2 FS related research.

Citation

Shukla, A. K., Kumar Bansal, S., Seth, T., Basu, A., John, R., & Muhuri, P. K. (2020). A Bibliometric Overview of the Field of Type-2 Fuzzy Sets and Systems [Discussion Forum]. IEEE Computational Intelligence Magazine, 15(1), 89-98. https://doi.org/10.1109/MCI.2019.2954669

• Journal Article Type: Article
• Acceptance Date: Oct 29, 2019
• Online Publication Date: Jan 10, 2020
• Publication Date: Feb 1, 2020
• Deposit Date: Nov 5, 2019
• Publicly Available Date: Jan 10, 2020
• Journal: IEEE Computational Intelligence Magazine
• Print ISSN: 1556-603X
• Electronic ISSN: 1556-6048
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 15
• Issue: 1
• Pages: 89-98
• DOI: https://doi.org/10.1109/MCI.2019.2954669
• Keywords: Theoretical Computer Science; Artificial Intelligence
• Public URL: https://nottingham-repository.worktribe.com/output/3049283
• Publisher URL: https://ieeexplore.ieee.org/document/8956101
• Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.