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Fuzzy Statistics and Data Analysis

  1. B. Quost and T. Denoeux. Clustering and classification of fuzzy data using the fuzzy EM algorithm; Fuzzy Sets and Systems, Vol. 286, pages 134-156, 2016. pdf
  2. X. Wang, S. Li and T. Denoeux. Interval-Valued Linear Model. International Journal of Computational Intelligence Systems, Volume 8, Issue 1, pages 114-127, 2015. pdf
  3. T. Denoeux. Maximum likelihood estimation from fuzzy data using the EM algorithm. Fuzzy Sets and Systems, 183(1):72-91, 2011. pdf
  4. P.-A. Hébert, M.-H. Masson and T. Denoeux. Fuzzy multidimensional scaling. Computational Statistics and Data Analysis, 51(1):335-359, 2006. pdf
  5. M.-H. Masson and T. Denoeux. Inferring a possibility distribution from empirical data. Fuzzy Sets and Systems, 157(3):319-340, 2006. pdf
  6. T. Denoeux, M.-H. Masson and P.-A. Hébert. Nonparametric rank-based statistics and significance tests for fuzzy data. Fuzzy Sets and Systems, 153(1):1-28, 2005. pdf
  7. T. Denoeux and M.-H. Masson. Principal component analysis of fuzzy data using autoassociative neural networks. IEEE Transactions on Fuzzy Systems, 12(3):336-349, 2004. pdf
  8. M.-H. Masson and T. Denoeux. Multidimensional scaling of fuzzy dissimilarity data. Fuzzy Sets and Systems, 128 (3):339-352, 2002. pdf
  9. T. Denoeux and M.-H. Masson. Multidimensional scaling of interval-valued dissimilarity data. Pattern Recognition Letters, 21:83-92, 2000. pdf

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