Design of Strong Fuzzy Partitions from Cuts
Corrado Mencar, Marco Lucarelli, Ciro Castiello, Fanelli Anna Maria
Available Online August 2013.
- 10.2991/eusflat.2013.65How to use a DOI?
- Strong fuzzy partitions $alpha$-cut triangular fuzzy sets trapezoidal fuzzy sets
The adoption of triangular fuzzy sets to define Strong Fuzzy Partitions (SFPs) is a common practice in the research community: due to their inherent simplicity, triangular fuzzy sets can be easily derived from data by applying suitable clustering algorithms. However, the choice of triangular fuzzy sets may be limiting for the modeling process. In this paper we focus on SFPs built up starting from cuts (points of separation between cluster projections on data dimensions), showing that a SFP based on cuts can always be defined by trapezoidal fuzzy sets. Different mechanisms to derive SFPs from cuts are presented and compared by employing DC*, an algorithm for extracting fuzzy information granules from classified data.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Corrado Mencar AU - Marco Lucarelli AU - Ciro Castiello AU - Fanelli Anna Maria PY - 2013/08 DA - 2013/08 TI - Design of Strong Fuzzy Partitions from Cuts BT - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13) PB - Atlantis Press SP - 464 EP - 471 SN - 1951-6851 UR - https://doi.org/10.2991/eusflat.2013.65 DO - 10.2991/eusflat.2013.65 ID - Mencar2013/08 ER -