World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
14431
World Ranking
4495
National Ranking
31

Overview

Miin-Shen Yang is affiliated with Chung Yuan Christian University in Taiwan. Their research primarily spans the fields of Computer Science and Decision Sciences, with a focus on subfields including Management Science and Operations Research, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, and Control and Systems Engineering.

The scientist has contributed extensively to topics such as Multi-Criteria Decision Making, Advanced Clustering Algorithms Research, Face and Expression Recognition, Optimization and Mathematical Programming, Fuzzy and Soft Set Theory, Fuzzy Systems and Optimization, and Rough Sets and Fuzzy Logic.

Frequent publication venues for their work include:

  • IEEE Access
  • Symmetry
  • Mathematics
  • Electronics
  • Pattern Recognition

Some recent papers authored by or involving this scientist are:

  • Unsupervised K-Means Clustering Algorithm, 2020, IEEE Access
  • TOPSIS Method Based on Complex Spherical Fuzzy Sets with Bonferroni Mean Operators, 2020, Mathematics
  • Complex T-Spherical Fuzzy Aggregation Operators with Application to Multi-Attribute Decision Making, 2020, Symmetry
  • Novel Aczel-Alsina Operators for Pythagorean Fuzzy Sets with Application in Multi-Attribute Decision Making, 2022, Symmetry
  • Aczel-Alsina Aggregation Operators on T-Spherical Fuzzy (TSF) Information With Application to TSF Multi-Attribute Decision Making, 2022, IEEE Access

Collaborations have been frequent with several researchers, including:

  • Zeeshan Ali
  • Tahir Mahmood
  • Josephine Bernadette M. Benjamin
  • Kristina P. Sinaga
  • Yasir Akhtar

In addition to journal publications, Miin-Shen Yang has contributed to book literature, notably publishing with Springer Science+Business Media. A key book title is "Theory and Practice of Natural Computing," published in 2020.

Best Publications

  • Unsupervised K-Means Clustering Algorithm

    Kristina P. Sinaga;Miin-Shen Yang

  • Alternative c-means clustering algorithms

    Kuo-Lung Wu;Miin-Shen Yang

  • Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance

    Wen-Liang Hung;Miin-Shen Yang

  • A survey of fuzzy clustering

    M. S. Yang

  • A cluster validity index for fuzzy clustering

    Kuo-Lung Wu;Miin-Shen Yang

  • A robust EM clustering algorithm for Gaussian mixture models

    Miin-Shen Yang;Chien-Yo Lai;Chih-Ying Lin

  • Fuzzy entropy on intuitionistic fuzzy sets

    Wen-Liang Hung;Miin-Shen Yang

  • On a class of fuzzy c -numbers clustering procedures for fuzzy data

    Miin-Shen Yang;Chen-Hsiu Ko

  • Unsupervised possibilistic clustering

    Miin-Shen Yang;Kuo-Lung Wu

  • Similarity measures of intuitionistic fuzzy sets based on L p metric

    Wen-Liang Hung;Miin-Shen Yang

  • A similarity-based robust clustering method

    Miin-Shen Yang;Kuo-Lung Wu

  • Segmentation techniques for tissue differentiation in MRI of ophthalmology using fuzzy clustering algorithms.

    Miin Shen Yang;Yu Jen Hu;Karen Chia-Ren Lin;Charles Chia-Lee Lin

  • A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction

    Miin-Shen Yang;Hsu-Shen Tsai

  • On the J-divergence of intuitionistic fuzzy sets with its application to pattern recognition

    Wen-Liang Hung;Miin-Shen Yang

  • Mean shift-based clustering

    Kuo-Lung Wu;Miin-Shen Yang

  • A similarity measure of intuitionistic fuzzy sets based on the Sugeno integral with its application to pattern recognition

    Chao-Ming Hwang;Miin-Shen Yang;Wen-Liang Hung;Ming-Gay Lee

  • A Feature-Reduction Fuzzy Clustering Algorithm Based on Feature-Weighted Entropy

    Miin-Shen Yang;Yessica Nataliani

  • On a class of fuzzy classification maximum likelihood procedures

    Miin-Shen Yang

  • Fuzzy least-squares linear regression analysis for fuzzy input-output data

    Miin-Shen Yang;Tzu-Shun Lin

  • Fuzzy clustering algorithms for mixed feature variables

    Miin-Shen Yang;Pei-Yuan Hwang;De-Hua Chen

  • TOPSIS Method Based on Complex Spherical Fuzzy Sets with Bonferroni Mean Operators

    Zeeshan Ali;Tahir Mahmood;Miin-Shen Yang

Frequent Co-Authors

Jian Yu
Jian Yu Beijing Jiaotong University
Tahir Mahmood
Tahir Mahmood International Islamic University, Islamabad
Muhammad Riaz
Muhammad Riaz South China Agricultural University

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