A comprehensive review on type 2 fuzzy logic applications: Past, present and future
In this paper a concise overview of the work that has been done by various researchers in
the area of type-2 fuzzy logic is analyzed and discussed. Type-2 fuzzy systems have been …
the area of type-2 fuzzy logic is analyzed and discussed. Type-2 fuzzy systems have been …
A review on type-2 fuzzy logic applications in clustering, classification and pattern recognition
P Melin, O Castillo - Applied soft computing, 2014 - Elsevier
In this paper a review of type-2 fuzzy logic applications in pattern recognition, classification
and clustering problems is presented. Recently, type-2 fuzzy logic has gained popularity in a …
and clustering problems is presented. Recently, type-2 fuzzy logic has gained popularity in a …
[HTML][HTML] DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation
Deep learning architecture with convolutional neural network achieves outstanding success
in the field of computer vision. Where U-Net has made a great breakthrough in biomedical …
in the field of computer vision. Where U-Net has made a great breakthrough in biomedical …
Improved fuzzy Bayesian network-based risk analysis with interval-valued fuzzy sets and D–S evidence theory
A novel risk analysis approach is developed by merging interval-valued fuzzy sets (IVFSs),
improved Dempster-Shafer (DS) evidence theory, and fuzzy Bayesian networks (BNs) …
improved Dempster-Shafer (DS) evidence theory, and fuzzy Bayesian networks (BNs) …
A historical account of types of fuzzy sets and their relationships
A Historical Account of Types of Fuzzy Sets and Their Relationships Page 1 IEEE
TRANSACTIONS ON FUZZY SYSTEMS, VOL. 24, NO. 1, FEBRUARY 2016 179 A Historical …
TRANSACTIONS ON FUZZY SYSTEMS, VOL. 24, NO. 1, FEBRUARY 2016 179 A Historical …
Opposition-based differential evolution
S Rahnamayan, HR Tizhoosh… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
Evolutionary algorithms (EAs) are well-known optimization approaches to deal with
nonlinear and complex problems. However, these population-based algorithms are …
nonlinear and complex problems. However, these population-based algorithms are …
Intuitionistic fuzzy information–applications to pattern recognition
IK Vlachos, GD Sergiadis - Pattern recognition letters, 2007 - Elsevier
This paper addresses the issue of information-theoretic discrimination measures for
intuitionistic fuzzy sets (IFSs). Although many measures of distance, similarity, dissimilarity …
intuitionistic fuzzy sets (IFSs). Although many measures of distance, similarity, dissimilarity …
Multimodal sensor medical image fusion based on type-2 fuzzy logic in NSCT domain
Multimodal medical image fusion plays a vital role in different clinical imaging sensor
applications. This paper presents a novel multimodal medical image fusion method that …
applications. This paper presents a novel multimodal medical image fusion method that …
Image segmentation using multilevel thresholding based on type II fuzzy entropy and marine predators algorithm
The digital image segmentation is an open problem that is growing day by day and is
attracting the attention of researchers from last few years. Image resolution and their speed …
attracting the attention of researchers from last few years. Image resolution and their speed …
A local fuzzy thresholding methodology for multiregion image segmentation
S Aja-Fernández, AH Curiale… - Knowledge-Based …, 2015 - Elsevier
Thresholding is a direct and simple approach to extract different regions from an image. In its
basic formulation, thresholding searches for a global value that maximizes the separation …
basic formulation, thresholding searches for a global value that maximizes the separation …