Fuzzy Change-Point Algorithms for Regression Models. - Shao-Tung Chang; Kang-Ping Lu; Miin-Shen Yang (IEEE Trans. Fuzzy Syst., 2015)

Change-point detection for shifts in control charts using fuzzy shift change-point algorithms. - Kang-Ping Lu; Shao-Tung Chang; Miin-Shen Yang (Comput. Ind. Eng., 2016)

Stepwise possibilistic c-regressions. - Shao-Tung Chang; Kang-Ping Lu; Miin-Shen Yang (Inf. Sci., 2016)

Detecting change-points for shifts in mean and variance using fuzzy classification maximum likelihood change-point algorithms. - Kang-Ping Lu; Shao-Tung Chang (J. Comput. Appl. Math., 2016)

Change-Point Detection for Shifts in Control Charts Using EM Change-Point Algorithms. - Shao-Tung Chang; Kang-Ping Lu (Qual. Reliab. Eng. Int., 2016)

A fuzzy classification approach to piecewise regression models. - Kang-Ping Lu; Shao-Tung Chang (Appl. Soft Comput., 2018)

Fuzzy maximum likelihood change-point algorithms for identifying the time of shifts in process data. - Kang-Ping Lu; Shao-Tung Chang (Neural Comput. Appl., 2019)

Robust Fuzzy Clustering Algorithms for Change-Point Regression Models. - Kang-Ping Lu; Shao-Tung Chang (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020)

A segmentation approach to regression problems with switching-points. - Shao-Tung Chang; Kang-Ping Lu (ICTC, 2023)