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TNN
2010
174views Management» more  TNN 2010»
14 years 4 months ago
Equivalences between neural-autoregressive time series models and fuzzy systems
Soft computing (SC) emerged as an integrating framework for a number of techniques that could complement one another quite well (artificial neural networks, fuzzy systems, evolutio...
José Luis Aznarte, José Manuel Ben&i...
66
Voted
FSS
2006
86views more  FSS 2006»
14 years 9 months ago
An omission approach for detecting outliers in fuzzy regression models
Since Tanaka et al. in 1982 proposed a study in linear regression with a fuzzy model, fuzzy regression analysis has been widely studied and applied in various areas. However, Tana...
Wen-Liang Hung, Miin-Shen Yang
EUSFLAT
2009
134views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Flow Line Systems with Possibilistic Data: a System with Waiting Time in Line Uncertain
This paper proposes to analyze two flow line systems in which we include possibilistic data -the priority-discipline is possibilistic instead of probabilistic- and measure the perf...
David de la Fuente, María José Pardo
120
Voted
JDCTA
2010
228views more  JDCTA 2010»
14 years 4 months ago
Research and Progress of Cluster Algorithms based on Granular Computing
Granular Computing (GrC), a knowledge-oriented computing which covers the theory of fuzzy information granularity, rough set theory, the theory of quotient space and interval comp...
Shifei Ding, Li Xu, Hong Zhu, Liwen Zhang
ISBI
2004
IEEE
15 years 10 months ago
Controling The False Positive Detection Rate In Fuzzy Clustering of fMRI Data
Despite its potential advantages for fMRI analysis, fuzzy C-means (FCM) clustering suffers from limitations such as the need for a priori knowledge of the number of clusters, and ...
Hesamoddin Jahanian, Hamid Soltanian-Zadeh, Gholam...