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» Modeling Gene Networks using Fuzzy Logic
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EUSFLAT
2009
124views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Development of a Fuzzy Expert System for a Nutritional Guidance Application
The importance of nutritional guidance grows as nutritional problems, such as obesity and type-2 diabetes, are becoming more common. Nutritional guidance is carried out by mapping ...
Petri Heinonen, Marjo Mannelin, Hannu Iskala, Aki ...
CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
14 years 11 days ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
ECIR
2009
Springer
13 years 5 months ago
Graded-Inclusion-Based Information Retrieval Systems
This paper investigates the use of fuzzy logic mechanisms coming from the database community, namely graded inclusions, to model the information retrieval process. In this framewor...
Patrick Bosc, Vincent Claveau, Olivier Pivert, Lau...
EUSFLAT
2003
13 years 8 months ago
Modelling with temporal fuzzy chains
The aim of this paper is to present the Temporal Fuzzy Chains (TFCs) [3] to model the dynamic systems in a linguistic manner. TFCs make use of two different concepts: the traditio...
Juan Moreno García, Luis Jiménez, Jo...
TFS
2008
93views more  TFS 2008»
13 years 7 months ago
Using Fuzzy Logic to Design Separation Function in Flocking Algorithms
Abstract--Flocking algorithms essentially consist of three components: alignment, cohesion, and separation. To track a desired trajectory, the flock center should move along the de...
Dongbing Gu, Huosheng Hu