A Robust Adaptive Version of Evidence-Theoretic k-NN Classification Rule. - Zhi-gang Su; Pei-hong Wang (FSKD (4), 2009)

Data and knowledge driven adaptive evidential soft sensor model for monitoring unmeasured parameters. - Zhi-gang Su; Pei-hong Wang; Xiang-jun Yu; Zhen-zhong Lv (ICONS, 2009)

Immune genetic algorithm-based adaptive evidential model for estimating unmeasured parameter: Estimating levels of coal powder filling in ball mill. - Zhi-gang Su; Pei-hong Wang; Xiang-jun Yu (Expert Syst. Appl., 2010)

A convenient version of T-S fuzzy model with enhanced performance. - Yu-fei Zhang 013; Zhi-gang Su; Pei-hong Wang (FSKD, 2011)

Multi-model strategy based evidential soft sensor model for predicting evaluation of variables with uncertainty. - Zhi-gang Su; Pei-hong Wang; Jiong Shen; Xiang-jun Yu; Zhen-zhong Lv; Lu Lu (Appl. Soft Comput., 2011)

Maximal confidence intervals of the interval-valued belief structure and applications. - Zhi-gang Su; Pei-hong Wang; Xiang-jun Yu; Zhen-zhong Lv (Inf. Sci., 2011)

Automatic fuzzy partitioning approach using Variable string length Artificial Bee Colony (VABC) algorithm. - Zhi-gang Su; Pei-hong Wang; Jiong Shen; Yi-Guo Li; Yu-fei Zhang 013; En-jun Hu (Appl. Soft Comput., 2012)

Automatic T-S fuzzy model with application to designing predictive controller. - Zhi-gang Su; Pei-hong Wang; Yu-fei Zhang 013 (Comput. Sci. Inf. Syst., 2012)

Minimizing neighborhood evidential decision error for feature evaluation and selection based on evidence theory. - Zhi-gang Su; Pei-hong Wang (Expert Syst. Appl., 2012)

Kernel based nonlinear fuzzy regression model. - Zhi-gang Su; Pei-hong Wang; Zhao-long Song (Eng. Appl. Artif. Intell., 2013)

Parametric regression analysis of imprecise and uncertain data in the fuzzy belief function framework. - Zhi-gang Su; Yifan Wang; Pei-hong Wang (Int. J. Approx. Reason., 2013)

Mixture data-driven Takagi-Sugeno fuzzy model. - Zhi-gang Su; Babak Rezaee; Pei-hong Wang (FSKD, 2014)

Likelihood-based multivariate fuzzy model with linear inequality constraints. - Zhi-gang Su; Shu-rong Zheng; Pei-hong Wang (J. Intell. Fuzzy Syst., 2014)

Regression analysis of belief functions on interval-valued variables: comparative studies. - Zhi-gang Su; Pei-hong Wang (Soft Comput., 2014)

Analysis of Line Loss Based on Matlab and Oracle Database. - Xue-sen Quan; Pei-hong Wang; Yong-sheng Hao; Ming Zhao; Meng-yang Li (CBD, 2015)

Constructing T-S fuzzy model from imprecise and uncertain knowledge represented as fuzzy belief functions. - Qian Wang; Zhi-gang Su; Babak Rezaee; Pei-hong Wang (Neurocomputing, 2015)

Constrained fuzzy evidential multivariate model identified by EM algorithm: a soft sensor to monitoring imprecise and uncertain process parameters. - Yong-sheng Hao; Zhi-gang Su; Pei-hong Wang; Ming Zhao (Soft Comput., 2017)

E2CM: An Evolutionary Version of Evidential C-Means Clustering Algorithm. - Zhi-gang Su; Hongyu Zhou; Pei-hong Wang; Gang Zhao; Ming Zhao (BELIEF, 2018)

Evidential KNN-based condition monitoring and early warning method with applications in power plant. - Xiao-long Chen; Pei-hong Wang; Yong-sheng Hao; Ming Zhao (Neurocomputing, 2018)

Fuzzy weighted c-harmonic regressions clustering algorithm. - Yang Zhao; Pei-hong Wang; Yi-Guo Li; Meng-yang Li (Soft Comput., 2018)

A Two-Stage strategy to handle equality constraints in ABC-based power economic dispatch problems. - Xiao-long Chen; Pei-hong Wang; Qian Wang; Yi-hua Dong (Soft Comput., 2019)

Cumulative belief peaks evidential K-nearest neighbor clustering. - Chaoyu Gong; Zhi-gang Su; Pei-hong Wang; Qian Wang (Knowl. Based Syst., 2020)

An interactive nonparametric evidential regression algorithm with instance selection. - Chaoyu Gong; Pei-hong Wang; Zhi-gang Su (Soft Comput., 2020)

Evidential instance selection for K-nearest neighbor classification of big data. - Chaoyu Gong; Zhi-gang Su; Pei-hong Wang; Qian Wang; Yang You 001 (Int. J. Approx. Reason., 2021)

An evidential clustering algorithm by finding belief-peaks and disjoint neighborhoods. - Chaoyu Gong; Zhi-gang Su; Pei-hong Wang; Qian Wang (Pattern Recognit., 2021)

Evidential Clustering by Competitive Agglomeration. - Lulu Xu; Qian Wang; Pei-hong Wang; Zhi-gang Su (BELIEF, 2022)

Self-reconstructive evidential clustering for high-dimensional data. - Chaoyu Gong; Yongbin Liu; Di Fu; Yong Liu 020; Pei-hong Wang; Yang You 001 (ICDE, 2022)

Joint Evidential $K$-Nearest Neighbor Classification. - Chaoyu Gong; Yongbin Li; Yong Liu 020; Pei-hong Wang; Yang You 001 (ICDE, 2022)

Distributed evidential clustering toward time series with big data issue. - Chaoyu Gong; Zhi-gang Su; Pei-hong Wang; Yang You 001 (Expert Syst. Appl., 2022)

Clustering based on adaptive local density with evidential assigning strategy. - Qian Wang; Chaoyu Gong; Pei-hong Wang (Intell. Data Anal., 2022)

Fractional order active disturbance rejection control design for non-integer order plus time delay models. - Hang Yi; Pei-hong Wang; Gang Zhao (Trans. Inst. Meas. Control, 2023)

Robust tuning of uncertainty and disturbance estimator-based control for stable processes with time delay. - Hang Yi; Zhi-gang Su; Pei-hong Wang (J. Frankl. Inst., 2023)

A Sparse Reconstructive Evidential K-Nearest Neighbor Classifier for High-Dimensional Data. - Chaoyu Gong; Zhi-gang Su; Pei-hong Wang; Qian Wang; Yang You 001 (IEEE Trans. Knowl. Data Eng., 2023)

Closed-Loop Shaping-Based Active Disturbance Rejection Control With Delay Robustness and Application to Wet Desulfurization Process. - Hang Yi; Zhi-gang Su; Pei-hong Wang (IEEE Trans. Ind. Electron., 2024)