Type-2 Fuzzy Classifier Ensembles for Text Entailment
Asli Celikyilmaz 0, I. Burhan Turksen
0University of California, Berkeley
Available Online December 2008.
- https://doi.org/10.2991/jcis.2008.11How to use a DOI?
- type-2 fuzzy sets, classifier ensembles, fuzzy c-classification.
- This paper presents a new Type-2 Fuzzy Classifier ensemble, which enables to model parameter uncertainties by charac-terizing the fuzzy sets with secondary membership values. We use fuzzy clus-tering method to characterize primary membership values and genetic algorithm to approximate secondary membership grades. Furthermore, a weighing algo-rithm is used for a non-complex reduction for reasoning. We use transductive rea-soning, instead of inductive reasoning, to develop a local model for every new vec-tor, 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Asli Celikyilmaz AU - I. Burhan Turksen PY - 2008/12 DA - 2008/12 TI - Type-2 Fuzzy Classifier Ensembles for Text Entailment BT - 11th Joint International Conference on Information Sciences PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2008.11 DO - https://doi.org/10.2991/jcis.2008.11 ID - Celikyilmaz2008/12 ER -