All Stories

  1. Support function machine for set-based classification with application to water quality evaluation

    Article • Information Sciences, May 2017, Elsevier

    Jiqiang Chen

  2. Comprehensive evaluation model for coal mine safety based on uncertain random variables

    Article • Safety Science, October 2014, Elsevier

    Jiqiang Chen

  3. A new information security risk analysis method based on membership degree

    Article • Kybernetes, April 2014, Emerald

    Jiqiang Chen

  4. Support Vector Regression Method for Wind Speed Prediction Incorporating Probability Prior Knowledge

    Article • Mathematical Problems in Engineering, January 2014, Hindawi Publishing Corporation

    Jiqiang Chen

  5. SUPPORT VECTOR MACHINE BASED ON RANDOM SET SAMPLES

    Article • International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, July 2013, World Scientific Pub Co Pte Lt

    Jiqiang Chen

  6. A new method for mining area ecological environment assessment based on credibility measure

    Article • Kybernetes, January 2013, Emerald

    Jiqiang Chen

  7. The support vector machine based on intuitionistic fuzzy number and kernel function

    Article • Soft Computing, September 2012, Springer Science + Business Media

    Jiqiang Chen

  8. Hydrothermal Synthesis of Homogeneous Li3PO4 Hollow Spheres

    Article • Nanoscience and Nanotechnology Letters, April 2012, American Scientific Publishers

    Jiqiang Chen

  9. Bounds on the rate of convergence of learning processes based on random sets and set‐valued probability

    Article • Kybernetes, October 2011, Emerald

    Jiqiang Chen

  10. Some theoretical results of learning theory based on random sets in set‐valued probability space

    Article • Kybernetes, April 2009, Emerald

    Jiqiang Chen

  11. A Special Supervised Learning Algorithm and Its Applications

    Article • January 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Jiqiang Chen

  12. A Further Discussion on Bounds on the Rate of Uniform Convergence of Learning Theory Based on Fuzzy Samples

    Article • January 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Jiqiang Chen