SyFSeL: generating synthetic fuzzy sets made simple

McCulloch, Josie

Abstract

Empirical tests can help determine if methods developed for fuzzy sets work correctly. However, finding a large enough data set with suitable properties to conduct thorough tests can be challenging. This paper presents a new library named SyFSeL (Synthetic Fuzzy Set Library) which automatically generates synthetic fuzzy sets with specified characteristics and fuzzy set type. SyFSeL generates as many sets as desired, with adjustable parameters to enable users to emulate real data. Generated fuzzy sets are exported so users can import them into their own fuzzy systems software. SyFSeL can also create graphical plots of the generated sets, examples of which are shown in this paper. The library is cross-platform and open-source under the GNU General Public License, and users are free to develop upon and adapt the code. However, SyFSeL has been designed so that no understanding of the code is required to use it.

Citation

McCulloch, J. (2018, July). SyFSeL: generating synthetic fuzzy sets made simple. Presented at IEEE International Conference on Fuzzy Systems 2018 (FUZZ-IEEE 2018), Rio de Janeiro, Brazil

• Presentation Conference Type: Edited Proceedings
• Conference Name: IEEE International Conference on Fuzzy Systems 2018 (FUZZ-IEEE 2018)
• Start Date: Jul 8, 2018
• End Date: Jul 13, 2018
• Acceptance Date: Mar 15, 2018
• Online Publication Date: Oct 14, 2018
• Publication Date: 2018
• Deposit Date: Jul 23, 2018
• Publicly Available Date: Oct 14, 2018
• Peer Reviewed: Peer Reviewed
• Book Title: 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
• ISBN: 978-1-5090-6021-4
• Public URL: https://nottingham-repository.worktribe.com/output/920421
• Publisher URL: https://ieeexplore.ieee.org/document/8491549
• Contract Date: Jul 23, 2018