In this paper, we propose a procedure for computing the dissimilarity measure of finite general type-2 fuzzy sets, represented as sequences of vertical slices. Through representing general type-2 fuzzy sets as a sequence of objects, we compute their overall dissimilarity value using suited matching algorithms for generalized sequences. The evaluation of the proposed matching algorithm is performed in the setting of classification, by defining datasets of general type-2 fuzzy sets conceived as labeled patterns. Experimental results show that the matching methodology is robust, accurate, and computationally acceptable. © 2013 IEEE.
Matching general type-2 fuzzy sets by comparing the vertical slices / Rizzi, Antonello; Livi, Lorenzo; Hooman, Tahayori; Alireza, Sadeghian. - (2013), pp. 866-871. (Intervento presentato al convegno 9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 tenutosi a Edmonton; Canada nel 24 June 2013 through 28 June 2013) [10.1109/ifsa-nafips.2013.6608514].
Matching general type-2 fuzzy sets by comparing the vertical slices
RIZZI, Antonello;LIVI, LORENZO;
2013
Abstract
In this paper, we propose a procedure for computing the dissimilarity measure of finite general type-2 fuzzy sets, represented as sequences of vertical slices. Through representing general type-2 fuzzy sets as a sequence of objects, we compute their overall dissimilarity value using suited matching algorithms for generalized sequences. The evaluation of the proposed matching algorithm is performed in the setting of classification, by defining datasets of general type-2 fuzzy sets conceived as labeled patterns. Experimental results show that the matching methodology is robust, accurate, and computationally acceptable. © 2013 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
