A Novel Approach to Handle Forecasting Problems Based on Moving Average Two-Factor Fuzzy Time Series. - Abhishekh; S. K. Bharati; S. R. Singh 002 (SocProS (1), 2017)

A New High-Order Approach for Forecasting Fuzzy Time Series Data. - Surendra Singh Gautam; Abhishekh; S. R. Singh 002 (Int. J. Comput. Intell. Appl., 2018)

A Score Function-Based Method of Forecasting Using Intuitionistic Fuzzy Time Series. - Abhishekh; Surendra Singh Gautam; S. R. Singh 002 (New Math. Nat. Comput., 2018)

A refined method of forecasting based on high-order intuitionistic fuzzy time series data. - Abhishekh; Surendra Singh Gautam; S. R. Singh 002 (Prog. Artif. Intell., 2018)

A Modified Weighted Fuzzy Time Series Model for Forecasting Based on Two-Factors Logical Relationship. - Abhishekh; Sanjay Kumar (Int. J. Fuzzy Syst., 2019)

A New Type 2 Fuzzy Time Series Forecasting Model Based on Three-Factors Fuzzy Logical Relationships. - Abhishekh; Surendra Singh Gautam; Shiva Raj Singh (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2019)

A Novel Ranking Approach to Solving Fully LR-Intuitionistic Fuzzy Transportation Problems. - Abhishekh; Anil Kumar Nishad (New Math. Nat. Comput., 2019)

Handling higher order time series forecasting approach in intuitionistic fuzzy environment. - Abhishekh; Sanjay Kumar (J. Control. Decis., 2020)

Hesitant fuzzy time series forecasting model of higher order based on one and two-factor aggregate logical relationship. - Anil Kumar Nishad; Gunjan Aggarwal; Abhishekh (Eng. Appl. Artif. Intell., 2023)