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TFS
2008
174views more  TFS 2008»
13 years 9 months ago
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition
In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural patter...
Jia Zeng, Zhi-Qiang Liu
TFS
2008
230views more  TFS 2008»
13 years 9 months ago
SGERD: A Steady-State Genetic Algorithm for Extracting Fuzzy Classification Rules From Data
Abstract--This paper considers the automatic design of fuzzyrule-based classification systems from labeled data. The performance of classifiers and the interpretability of generate...
Eghbal G. Mansoori, Mansoor J. Zolghadri, Seraj D....
TFS
2008
129views more  TFS 2008»
13 years 8 months ago
A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control
Abstract--This study presents a functional-link-based neurofuzzy network (FLNFN) structure for nonlinear system control. The proposed FLNFN model uses a functional link neural netw...
Cheng-Hung Chen, Cheng-Jian Lin, Chin-Teng Lin
TFS
2008
153views more  TFS 2008»
13 years 8 months ago
Encoding Words Into Interval Type-2 Fuzzy Sets Using an Interval Approach
This paper presents a very practical type-2-fuzzistics methodology for obtaining interval type-2 fuzzy set (IT2 FS) models for words, one that is called an interval approach (IA). ...
Feilong Liu, Jerry M. Mendel
BMCBI
2008
110views more  BMCBI 2008»
13 years 10 months ago
Determining significance of pairwise co-occurrences of events in bursty sequences
Background: Event sequences where different types of events often occur close together arise, e.g., when studying potential transcription factor binding sites (TFBS, events) of ce...
Niina Haiminen, Heikki Mannila, Evimaria Terzi