Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7753
Title: Type-2 Fuzzy Classifier Ensembles for Text Entailment
Authors: Çelikyılmaz, Aslı
Türkşen, İsmail Burhan
Keywords: type-2 fuzzy sets
classifier ensembles
fuzzy c-classification
Issue Date: 2008
Publisher: Atlantis Press
Source: 11th Joint Conference on Information Sciences -- DEC 15-20, 2008 -- Shenzhen, PEOPLES R CHINA
Abstract: This paper presents a new Type-2 Fuzzy Classifier ensemble, which enables to model parameter uncertainties by characterizing the fuzzy sets with secondary membership values. We use fuzzy clustering method to characterize primary membership values and genetic algorithm to approximate secondary membership grades. Furthermore, a weighing algorithm is used for a non-complex reduction for reasoning. We use transductive reasoning, instead of inductive reasoning, to develop a local model for every new vector, based on a nearness criterion vectors from the given database. It is shown that the method can improve classifier system modeling performance in comparison to well-known methods.
URI: https://hdl.handle.net/20.500.11851/7753
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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