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Browsing by Author Le, Hoang Son

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  • 3208.pdf.jpg
  • Article

  • Interval Complex Neutrosophic Set: Formulation and Applications in Decision-Making

    • Authors: Ali, Mumtaz; Luu, Quoc Dat; Le, Hoang Son; Smarandache, Florentin (2018)

  • Neutrosophic set is a powerful general formal framework which generalizes the concepts of classic set, fuzzy set, interval-valued fuzzy set, intuitionistic fuzzy set, etc. Recent studies have developed systems with complex fuzzy sets, for better designing and modeling real-life applications. The single-valued complex neutrosophic set, which is an extended form of the single-valued complex fuzzy set and of the single-valued complex intuitionistic fuzzy set, presents difficulties to defining a crisp neutrosophic membership degree as in the single-valued neutrosophic set. Therefore, in this paper we propose a new notion, called interval complex neutrosophic set (ICNS), and exam...
  • [doi 10.1109%2Ficcsit.2010.5564074] Le Hoang Son, -- [IEEE 2010 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2010) - Chengdu, China (201(1).pdf.jpg
  • Conference paper

  • On The Development of Three Dimensional WebGIS Systems: Some New Trends and Prosp

    • Authors: Le, Hoang Son (2010)

  • The applications of three dimensional WebGIS systems are currently receiving growing interest from researchers with various backgrounds. In this paper, we will discuss about some new trends as well as prospects of these applications in the future. We also exemplify one operation attached to the spatial analysis- oriented WebGIS-3D systemwhich is considered to be one of the most striking trends above. The result shows great potential of them to capture the attention of researchers in nearly future.
  • Segmentation of dental X-ray images in medical imaging using neutrosophic orthogonal matrices.PDF.jpg
  • Article

  • Segmentation of dental X-ray images in medical imaging using neutrosophic orthogonal matrices

    • Authors: Ali, Mumtaz; Le, Hoang Son; Khan, Mohsin; Nguyen, Thanh Tung (2018-01)

  • Over the last few decades, the advance of new technologies in computer equipment, cameras and medical devices became a starting point for the shape of medical imaging systems. Since then, many new medical devices, e.g. the X-Ray machines, computed tomography scans, magnetic resonance imaging, etc., accompanied with operational algorithms inside has contributed greatly to successful diagnose of clinical cases. Enhancing the accuracy of segmentation, which plays an important role in the recognition of disease patterns, has been the focus of various researches in recent years. Segmentation using advanced fuzzy clustering to handle the problems of common boundaries between clusters would ...
  • Some Improvements of Fuzzy Clustering Algorithms Using Picture Fuzzy Sets and Applications For Geographic Data Clustering.pdf.jpg
  • Article

  • Some Improvements of Fuzzy Clustering Algorithms Using Picture Fuzzy Sets and Applications for Geographic Data Clustering

    • Authors: Nguyen, Dinh Hoa; Le, Hoang Son; Pham, Huy Thong (2016)

  • This paper summarizes the major findings of the research project under the code name QG.14.60. The research aims to enhancement of some fuzzy clustering methods by the mean of more generalized fuzzy sets. The main results are: (1) Improve a distributed fuzzy clustering method for big data using picture fuzzy sets; design a novel method called DPFCM to reduce communication cost using the facilitator model (instead of the peer-to-peer model) and the picture fuzzy sets. The experimental evaluations show that the clustering quality of DPFCM is better than the original algorithm while ensuring reasonable computational time. (2) Apply picture fuzzy clustering for weather nowcasting proble...
  • 3094.pdf.jpg
  • Article

  • Tune Up Fuzzy C-Means for Big Data: Some Novel Hybrid Clustering Algorithms Based on Initial Selection and Incremental Clustering

    • Authors: Le, Hoang Son; Nguyen, Dang Tien (2017)

  • Data are getting larger, and most of them are necessary for our businesses. Rapid explosion of data brings us a number of challenges relating to its complexity and how the most important knowledge can be captured in reasonable time. Fuzzy C-means (FCM)—one of the most efficient clustering algorithms which have been widely used in pattern recognition, data compression, image segmentation, computer vision and many other fields—also faces the problem of processing large datasets. In this paper, we propose some novel hybrid clustering algorithms based on incremental clustering and initial selection to tune up FCM for the Big Data problem. The first algorithm determines meshes of rectang...

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Browsing by Author Le, Hoang Son

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  
Showing results 1 to 5 of 5
  • 3208.pdf.jpg
  • Article

  • Interval Complex Neutrosophic Set: Formulation and Applications in Decision-Making

    • Authors: Ali, Mumtaz; Luu, Quoc Dat; Le, Hoang Son; Smarandache, Florentin (2018)

  • Neutrosophic set is a powerful general formal framework which generalizes the concepts of classic set, fuzzy set, interval-valued fuzzy set, intuitionistic fuzzy set, etc. Recent studies have developed systems with complex fuzzy sets, for better designing and modeling real-life applications. The single-valued complex neutrosophic set, which is an extended form of the single-valued complex fuzzy set and of the single-valued complex intuitionistic fuzzy set, presents difficulties to defining a crisp neutrosophic membership degree as in the single-valued neutrosophic set. Therefore, in this paper we propose a new notion, called interval complex neutrosophic set (ICNS), and exam...
  • [doi 10.1109%2Ficcsit.2010.5564074] Le Hoang Son, -- [IEEE 2010 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2010) - Chengdu, China (201(1).pdf.jpg
  • Conference paper

  • On The Development of Three Dimensional WebGIS Systems: Some New Trends and Prosp

    • Authors: Le, Hoang Son (2010)

  • The applications of three dimensional WebGIS systems are currently receiving growing interest from researchers with various backgrounds. In this paper, we will discuss about some new trends as well as prospects of these applications in the future. We also exemplify one operation attached to the spatial analysis- oriented WebGIS-3D systemwhich is considered to be one of the most striking trends above. The result shows great potential of them to capture the attention of researchers in nearly future.
  • Segmentation of dental X-ray images in medical imaging using neutrosophic orthogonal matrices.PDF.jpg
  • Article

  • Segmentation of dental X-ray images in medical imaging using neutrosophic orthogonal matrices

    • Authors: Ali, Mumtaz; Le, Hoang Son; Khan, Mohsin; Nguyen, Thanh Tung (2018-01)

  • Over the last few decades, the advance of new technologies in computer equipment, cameras and medical devices became a starting point for the shape of medical imaging systems. Since then, many new medical devices, e.g. the X-Ray machines, computed tomography scans, magnetic resonance imaging, etc., accompanied with operational algorithms inside has contributed greatly to successful diagnose of clinical cases. Enhancing the accuracy of segmentation, which plays an important role in the recognition of disease patterns, has been the focus of various researches in recent years. Segmentation using advanced fuzzy clustering to handle the problems of common boundaries between clusters would ...
  • Some Improvements of Fuzzy Clustering Algorithms Using Picture Fuzzy Sets and Applications For Geographic Data Clustering.pdf.jpg
  • Article

  • Some Improvements of Fuzzy Clustering Algorithms Using Picture Fuzzy Sets and Applications for Geographic Data Clustering

    • Authors: Nguyen, Dinh Hoa; Le, Hoang Son; Pham, Huy Thong (2016)

  • This paper summarizes the major findings of the research project under the code name QG.14.60. The research aims to enhancement of some fuzzy clustering methods by the mean of more generalized fuzzy sets. The main results are: (1) Improve a distributed fuzzy clustering method for big data using picture fuzzy sets; design a novel method called DPFCM to reduce communication cost using the facilitator model (instead of the peer-to-peer model) and the picture fuzzy sets. The experimental evaluations show that the clustering quality of DPFCM is better than the original algorithm while ensuring reasonable computational time. (2) Apply picture fuzzy clustering for weather nowcasting proble...
  • 3094.pdf.jpg
  • Article

  • Tune Up Fuzzy C-Means for Big Data: Some Novel Hybrid Clustering Algorithms Based on Initial Selection and Incremental Clustering

    • Authors: Le, Hoang Son; Nguyen, Dang Tien (2017)

  • Data are getting larger, and most of them are necessary for our businesses. Rapid explosion of data brings us a number of challenges relating to its complexity and how the most important knowledge can be captured in reasonable time. Fuzzy C-means (FCM)—one of the most efficient clustering algorithms which have been widely used in pattern recognition, data compression, image segmentation, computer vision and many other fields—also faces the problem of processing large datasets. In this paper, we propose some novel hybrid clustering algorithms based on incremental clustering and initial selection to tune up FCM for the Big Data problem. The first algorithm determines meshes of rectang...