A clustering based forecasting algorithm for multivariable fuzzy time series using linear combinations of independent variables. - S. Askari; Nader Montazerin; M. H. Fazel Zarandi (Appl. Soft Comput., 2015)

A high-order multi-variable Fuzzy Time Series forecasting algorithm based on fuzzy clustering. - S. Askari; Nader Montazerin (Expert Syst. Appl., 2015)

High-Frequency Modeling of Natural Gas Networks From Low-Frequency Nodal Meter Readings Using Time-Series Disaggregation. - S. Askari; Nader Montazerin; M. H. Fazel Zarandi (IEEE Trans. Ind. Informatics, 2016)

Generalized Possibilistic Fuzzy C-Means with novel cluster validity indices for clustering noisy data. - S. Askari; Nader Montazerin; M. H. Fazel Zarandi (Appl. Soft Comput., 2017)

A novel and fast MIMO fuzzy inference system based on a class of fuzzy clustering algorithms with interpretability and complexity analysis. - S. Askari (Expert Syst. Appl., 2017)

Generalized entropy based possibilistic fuzzy C-Means for clustering noisy data and its convergence proof. - S. Askari; Nader Montazerin; M. H. Fazel Zarandi; E. Hakimi (Neurocomputing, 2017)

Modeling energy flow in natural gas networks using time series disaggregation and fuzzy systems tuned by particle swarm optimization. - S. Askari; Nader Montazerin; M. H. Fazel Zarandi (Appl. Soft Comput., 2020)

A critical note on inverse fuzzy time series algorithms. - S. Askari (Fuzzy Sets Syst., 2021)