AIMC Topic: Fuzzy Logic

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Laplacian mixture modeling for network analysis and unsupervised learning on graphs.

PloS one Oct 1, 2018
Laplacian mixture models identify overlapping regions of influence in unlabeled graph and network data in a scalable and computationally efficient way, yielding useful low-dimensional representations. By combining Laplacian eigenspace and finite mixt...
Unsupervised Machine Learning Cluster Analysis Finite Element Analysis Models, Statistical Algorithms Fuzzy Logic
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An improved stability result for delayed Takagi-Sugeno fuzzy Cohen-Grossberg neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 24, 2018
This work proposes a novel and improved delay independent global asymptotic stability criterion for delayed Takagi-Sugeno (T-S) fuzzy Cohen-Grossberg neural networks exploiting a suitable fuzzy-type Lyapunov functional in the presence of the nondecre...
Neural Networks, Computer Time Factors Fuzzy Logic Algorithms
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Registration-Based Organ Positioning and Joint Segmentation Method for Liver and Tumor Segmentation.

BioMed research international Sep 24, 2018
The automated segmentation of liver and tumor from CT images is of great importance in medical diagnoses and clinical treatment. However, accurate and automatic segmentation of liver and tumor is generally complicated due to the complex anatomical st...
Liver Neoplasms Humans Databases, Factual Fuzzy Logic Machine Learning Liver Tomography, X-Ray Computed
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Initial state perturbations as a validation method for data-driven fuzzy models of cellular networks.

BMC bioinformatics Sep 21, 2018
BACKGROUND: Data-driven methods that automatically learn relations between attributes from given data are a popular tool for building mathematical models in computational biology. Since measurements are prone to errors, approaches dealing with uncert...
Fuzzy Logic Humans Computational Biology Systems Biology Computer Simulation Gene Regulatory Networks
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Fuzzy Group Consensus Decision Making and Its Use in Selecting Energy-Saving and Low-carbon Technology Schemes in Star Hotels.

International journal of environmental research and public health Sep 19, 2018
Energy-saving and low-carbon technologies play important roles in reducing environmental risk and developing green tourism. An energy-saving and low-carbon technology scheme selection may often involve multiple criteria and sub-criteria as well as mu...
Technology Consensus Fuzzy Logic Leisure Activities Conservation of Energy Resources Decision Making Industry
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Detecting gene-gene interactions for complex quantitative traits using generalized fuzzy classification.

BMC bioinformatics Sep 18, 2018
BACKGROUND: Quantitative traits or continuous outcomes related to complex diseases can provide more information and therefore more accurate analysis for identifying gene-gene and gene- environment interactions associated with complex diseases. Multif...
Epistasis, Genetic Fuzzy Logic Genetic Markers Computational Biology Models, Genetic Phenotype Female Mice Polymorphism, Single Nucleotide Animals Humans
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Bounded Fuzzy Possibilistic Method Reveals Information about Lung Cancer through Analysis of Metabolomics.

IEEE/ACM transactions on computational biology and bioinformatics Sep 12, 2018
Learning methods, such as conventional clustering and classification, have been applied in diagnosing diseases to categorize samples based on their features. Going beyond clustering samples, membership degrees represent to what degree each sample bel...
Cluster Analysis Metabolomics Lung Neoplasms Fuzzy Logic Metabolome Humans Algorithms Case-Control Studies Machine Learning
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Predicting lysine lipoylation sites using bi-profile bayes feature extraction and fuzzy support vector machine algorithm.

Analytical biochemistry Sep 12, 2018
Lipoylation is a highly conserved post-translational modification which has been found to be involved in many biological processes and closely associated with various metabolic diseases. The accurate identification of lipoylation sites is necessary t...
Fuzzy Logic Bayes Theorem Lysine Support Vector Machine Lipoylation
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Multimodal Medical Image Fusion Based on Fuzzy Discrimination With Structural Patch Decomposition.

IEEE journal of biomedical and health informatics Sep 10, 2018
Multimodal medical image fusion, emerging as a hot topic, aims to fuse images with complementary multi-source information. In this paper, we propose a novel multimodal medical image fusion method based on structural patch decomposition (SPD) and fuzz...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Fuzzy Logic Algorithms Multimodal Imaging Humans Magnetic Resonance Imaging Brain
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Fuzzy entropy based on differential evolution for breast gland segmentation.

Australasian physical & engineering sciences in medicine Sep 10, 2018
For the diagnosis and treatment of breast tumors, the automatic detection of glands is a crucial step. The true segmentation of the gland is directly related to effective treatment effect of the patient. Therefore, it is necessary to propose an autom...
Female Breast Neoplasms Humans Algorithms Predictive Value of Tests Fuzzy Logic Mammography Breast Image Interpretation, Computer-Assisted
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