The performances of iterative type-2 fuzzy C-mean on GPU for image segmentation
NA Ali, AE abbassi, B Cherradi - The Journal of Supercomputing, 2022 - Springer
Fuzzy C-mean (FCM) is an algorithm for data segmentation and classification, robust and
very popular within the scientific community. It is used in several fields such as computer …
very popular within the scientific community. It is used in several fields such as computer …
Optimization of interval type-2 fuzzy system using the PSO technique for predictive problems
An interval type-2 fuzzy logic system (IT2FLS) can function well with uncertain data, with
which a type-1 fuzzy logic system (T1FLS) is ineffective because its membership function …
which a type-1 fuzzy logic system (T1FLS) is ineffective because its membership function …
Using dynamic parallelism to speed up clustering-based community detection in social networks
Social Network Analysis (SNA) has been gaining a lot of attention lately. One of the common
steps in SNA is community detection. SNA literature has many interesting algorithms for …
steps in SNA is community detection. SNA literature has many interesting algorithms for …
Low frequency keyword extraction with sentiment classification and cyberbully detection using fuzzy logic technique
JI Sheeba, K Vivekanandan - 2013 IEEE international …, 2013 - ieeexplore.ieee.org
Various kinds of audio and video data are generated everyday like chatting, blog posts and
Twitter on wide range of products. Providing keywords for these audio files, thus allow the …
Twitter on wide range of products. Providing keywords for these audio files, thus allow the …
Interval type-2 fuzzy c-means approach to collaborative clustering
There have been numerous studies on using the FCM algorithm in clustering and
collaboration clustering, especially in data analysis, data mining and pattern recognition. In …
collaboration clustering, especially in data analysis, data mining and pattern recognition. In …
[PDF][PDF] A fuzzy logic based on sentiment classification
JI Sheeba, K Vivekanandan - International Journal of Data Mining & …, 2014 - academia.edu
Sentiment classification aims to detect information such as opinions, explicit, implicit feelings
expressed in text. The most existing approaches are able to detect either explicit …
expressed in text. The most existing approaches are able to detect either explicit …
Speedup of learning in interval type-2 neural fuzzy systems through graphic processing units
CF Juang, WY Chen, CW Liang - IEEE Transactions on Fuzzy …, 2014 - ieeexplore.ieee.org
In contrast with type-1 neural fuzzy systems (NFSs), interval type-2 NFSs process interval
membership values are much more computationally expensive in implementation …
membership values are much more computationally expensive in implementation …
Improving the efficiency of land cover classification by combining segmentation, hierarchical clustering, and active learning
Acquiring training samples for supervised machine learning methods to automate land cover
classification is very labor intensive. The ever-increasing amount of available remote …
classification is very labor intensive. The ever-increasing amount of available remote …
An improved interval type-2 possibilistic C-means clustering algorithm for interclass maximization
H Xing, M Zhang, Q Tong, X Zeng… - Journal of Intelligent & …, 2024 - content.iospress.com
Cluster analysis is an important method for data analysis, which is also widely used in
remote sensing image classification. An effective clustering algorithm is proposed for the …
remote sensing image classification. An effective clustering algorithm is proposed for the …
Interval type-2 fuzzy logic systems optimization with swarm algorithms for data classification
DS Mai - 2021 13th International Conference on Knowledge …, 2021 - ieeexplore.ieee.org
Fuzzy systems based on the interval type-2 fuzzy set have many advantages in processing
uncertain data compared with the fuzzy systems based on the type-1 fuzzy set. The design of …
uncertain data compared with the fuzzy systems based on the type-1 fuzzy set. The design of …