Hierarchical fused model with deep learning and type-2 fuzzy learning for breast cancer diagnosis
Breast cancer diagnosis based on medical imaging necessitates both fine-grained lesion
segmentation and disease grading. Although deep learning (DL) offers an emerging and …
segmentation and disease grading. Although deep learning (DL) offers an emerging and …
An extension of the fuzzy possibilistic clustering algorithm using type‐2 fuzzy logic techniques
In this work an extension of the Fuzzy Possibilistic C‐Means (FPCM) algorithm using Type‐2
Fuzzy Logic Techniques is presented, and this is done in order to improve the efficiency of …
Fuzzy Logic Techniques is presented, and this is done in order to improve the efficiency of …
Systematic image processing for diagnosing brain tumors: A Type-II fuzzy expert system approach
MHF Zarandi, M Zarinbal, M Izadi - Applied soft computing, 2011 - Elsevier
This paper presents a systematic Type-II fuzzy expert system for diagnosing the human brain
tumors (Astrocytoma tumors) using T1-weighted Magnetic Resonance Images with contrast …
tumors (Astrocytoma tumors) using T1-weighted Magnetic Resonance Images with contrast …
Intelligent methods for weather forecasting: A review
Weather forecasting is one of the most important and challenging field for scientists and
engineers. The advent of technology has enabled us to obtain forecasts using complex …
engineers. The advent of technology has enabled us to obtain forecasts using complex …
Design of reinforced interval type-2 fuzzy c-means-based fuzzy classifier
This paper is concerned with a new design methodology of a reinforced interval type-2 fuzzy
c-means (FCM) based fuzzy classifier (FC). The key point of this study is to reduce the …
c-means (FCM) based fuzzy classifier (FC). The key point of this study is to reduce the …
A study of various fuzzy clustering algorithms
N Grover - International Journal of Engineering Research, 2014 - indianjournals.com
In data mining clustering techniques are used to group together the objects showing similar
characteristics within the same cluster and the objects demonstrating different characteristics …
characteristics within the same cluster and the objects demonstrating different characteristics …
Reinforced interval type-2 fuzzy clustering-based neural network realized through attention-based clustering mechanism and successive learning
In this article, a novel attention-based reinforced interval type-2 fuzzy clustering neural
network (ARIT2FCN) is developed to improve the generalization performance of fuzzy …
network (ARIT2FCN) is developed to improve the generalization performance of fuzzy …
Adaptive type2-possibilistic C-means clustering and its application to microarray datasets
Z Moattar Husseini, MH Fazel Zarandi… - Artificial Intelligence …, 2023 - Springer
Microarray technology is an important innovation that simultaneously facilitates measuring
the expression level for thousands of genes in different samples. One basic and widely used …
the expression level for thousands of genes in different samples. One basic and widely used …
Interval type-2 relative entropy fuzzy C-means clustering
Fuzzy set theory especially Type-2 fuzzy set theory provides an efficient tool for handling
uncertainties and vagueness in real world observations. Among various clustering …
uncertainties and vagueness in real world observations. Among various clustering …
A new interval type-2 fuzzy possibilistic C-means clustering algorithm
E Rubio, O Castillo, P Melin - … NAFIPS) held jointly with 2015 5th …, 2015 - ieeexplore.ieee.org
In this paper we are presenting the extension of the Fuzzy Possibilistic C-Means (FPCM)
algorithm using Type-2 Fuzzy Logic techniques, with the goal of improving the performance …
algorithm using Type-2 Fuzzy Logic techniques, with the goal of improving the performance …