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Recent Papers

  1. N.D.K. Ngo, T.-Q. Le, R. Tansuchat, T. Nguyen-Mau, V.-N. Huynh, Evaluating innovation capability in banking under uncertainty, IEEE Transactions on Engineering Management, in press.
  2. D.-H. Nguyen, V.-N. Huynh. Integrated preference argumentation and applications in consumer behaviour analyses, International Journal of Approximate Reasoning 159 (2023) 108938.
  3. D.-V. Vo, T.-T. Tran, K. Shirai, V.-N. Huynh, Deep generative networks coupled with evidential reasoning for dynamic user preferences using short texts, IEEE Transactions on Knowledge and Data Engineering 35(7) (2023) 6811 – 6826.
  4. B.-H. Nguyen, V.-N. Huynh, Textual analysis and corporate bankruptcy: A financial dictionary-based sentiment approach, Journal of the Operational Research Society 73(1) (2022) 102–121.
  5. T. Nguyen-Mau, V.-N. Huynh. An LSH-based //k//-representatives clustering method for large categorical data, Neurocomputing 463 (2021) 29–44.
  6. D.-V. Vo, J. Karnjana, V.-N. Huynh. An integrated framework of learning and evidential reasoning for user profiling using short texts, Information Fusion 70 (2021) 27–42.
  7. A. Hoang, T. Nguyen-Mau, D.-V. Vo, V.-N. Huynh. A mass-based approach for local outlier detection, IEEE Access 9 (2021) 16448–16466.
  8. D.-T. Dinh, V.-N. Huynh, S. Sriboonchitta. Clustering mixed numerical and categorical data with missing values, Information Sciences 571 (2021) 418–442.
  9. D.-H. Nguyen, V.-N. Huynh. Learning preferences in argumentation: Algorithms and applications, International Journal of Approximate Reasoning 131 (2021) 214–251.
  10. A.-T. Tran, T.-D. Luong, J. Karnjana, V.-N. Huynh. An efficient approach for privacy preserving decentralized deep learning models based on secure multi-party computation, Neurocomputing 422 (2021) 245–262.
  11. T.-H. T. Nguyen, D.-T. Dinh, S. Sriboonchitta, V.-N. Huynh. A method for //k//-means-like clustering of categorical data, Journal of Ambient Intelligence and Humanized Computing, in press.
  12. D.-T. Dinh, V.-N. Huynh. //k//-PbC: an improved cluster center initialization for categorical data clustering, Applied Intelligence 50 (2020) 2610–2632.
  13. V.-D. Nguyen, V.-N. Huynh, S. Sriboonchitta. Integrating community context information into a reliably weighted collaborative filtering system using soft ratings, IEEE Transactions on Systems, Man and Cybernetics: Systems 50 (2020), 1318-1330.
  14. T. Phiboonbanakit, V.-N. Huynh, T. Horanont, T. Supnithi. Unsupervised hybrid anomaly detection model for logistics fleet management systems, IET Intelligent Transport Systems 13 (2019), 1636-1648.
  15. H.-B. Yan, X.-S. Meng, T. Ma, V.-N. Huynh. An uncertain target-oriented QFD approach to service design based on service standardization with an application to bank window service, IISE Transactions 51 (2019), 1167-1189.
  16. W. OU, V.-N. Huynh, S. Sriboonchitta. Training attractive attribute classifiers based on opinion features extracted from review data, Electronic Commerce Research and Applications 32 (2018), 13-22.
  17. S. Chanyachatchawan, H.-B. Yan, S. Sriboonchitta, V.-N. Huynh. A linguistic representation based approach to modelling kansei data and its application to consumer-oriented evaluation of traditional products, Knowledge-Based Systems 138 (2017), 124-133.
  18. W. Guo, V.-N. Huynh, S. Sriboonchitta. A proportional linguistic distribution based model for multiple attribute decision making under linguistic uncertainty, Annals of Operations Research 256 (2017), 305-328.
  19. H.-B. Yan, T. Ma, S. Sriboonchitta, V.-N. Huynh. A stochastic dominance based approach to consumer-oriented Kansei evaluation with multiple priorities, Annals of Operations Research 256 (2017), 329-357.
  20. H.-B. Yan, T. Ma, V.-N. Huynh. On qualitative multi-attribute group decision making and its consensus measure: A probability based perspective, Omega: The International Journal of Management Science 70 (2017), 94-117.
  21. V.-D. Nguyen, V.-N. Huynh. Two-probabilities focused combination in recommender systems, International Journal of Approximate Reasoning 80 (2017), 225-238.

Special Issues

  1. V.-N. Huynh, H.B. Yan (Eds.), Special Issue on IUKM 2018, Annals of Operations Research (2020).
  2. V.-N. Huynh (Ed.), Special Issue on Uncertainty Management in Machine Learning Applications, International Journal of Approximate Reasoning 107 (2019) 79-80.
  3. V.-N. Huynh (Ed.), Special Issue on IUKM 2015, Annals of Operations Research 256 (2017).
  4. V.-N. Huynh, V. Kreinovich (Eds.), Special Issue on Modeling Dependence in Econometrics, International Journal of Approximate Reasoning 65 (2015) 1-70.
  5. V.-N. Huynh, S.B. Pham (Eds.), Special Issue on Knowledge and Systems Engineering – KSE2013, Data and Knowledge Engineering 96–97 (2015) 1-90.
  6. V.-N. Huynh, V. Kreinovich (Eds.), Special Issue on Uncertainty in Financial Econometrics, International Journal of Approximate Reasoning 54 (6)(2013) 669.
  7. V.-N. Huynh, J. Lawry, Y. Nakamori (Eds.), Special Issue on Integrated Uncertainty Management for Decision Making, Annals of Operations Research, 195 (2012).
  8. V.-N. Huynh, V. Kreinovich (Eds.), Special Issue on Interval/Probabilistic Uncertainty, International Journal of Approximate Reasoning 50 (8)(2009) 1149.

Edited Books

  1. V.-N. Huynh, V. Kreinovich, S. Sriboonchitta, S. Komsan (Eds.), Econometrics of Risk, Studies in Computational Intelligence 583, Springer-Verlag, January 2015.
  2. V.-H. Nguyen, A.-C. Le, V.-N. Huynh (Eds.), Knowledge and Systems Engineering – Proceedings of The Sixth International Conference KSE 2014, Advances in Intelligent Systems and Computing 326, Springer-Verlag, 2014.
  3. V.-N. Huynh, V. Kreinovich, S. Sriboonchitta (Eds.), Modeling Dependence in Econometrics, Advances in Intelligent Systems and Computing 251, Springer-Verlag, January 2014.
  4. V.-N. Huynh, T. Denoeux, D.-H. Tran, A.-C. Le, S. B. Pham (Eds.), Knowledge and Systems Engineering – Proceedings of The Fifth International Conference KSE 2013, Volumes I and II, Advances in Intelligent Systems and Computing 244245, Springer-Verlag, 2013.
  5. Z. Qin, V.-N. Huynh (Eds.), Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2013). LNAI 8032, Springer-Verlag, 2013.
  6. V.-N. Huynh, V. Kreinovich, S. Sriboonchitta, S. Komsan (Eds.), Uncertainty Analysis in Econometrics with Applications, Advances in Intelligent Systems and Computing 200, Springer-Verlag, January 2013.
  7. Y. Tang, V.-N. Huynh, J. Lawry (Eds.), Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2011). LNAI 7027, Springer-Verlag, 2011.
  8. V.-N. Huynh, Y. Nakamori, J. Lawry, M. Inuiguchi (Eds.), Integrated Uncertainty Management and Applications, Advances in Intelligent and Soft Computing 68, Springer-Verlag, 2010.
  9. V.-N. Huynh, Y. Nakamori, H. Ono, J. Lawry, V. Kreinovich, H.T. Nguyen (Eds.), Interval/Probabilistic Uncertainty and Non-Classical Logics, Advances in Soft Computing 46, Springer-Verlag, 2008.

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