Hesitant fuzzy time series forecasting model of higher order based on one and two-factor aggregate logical relationship

Author:

Nishad Anil Kumar,Aggarwal Gunjan,Abhishekh ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference35 articles.

1. A novel approach to handle forecasting problems based on moving average two-factor fuzzy time series;Abhishekh,2019

2. A refined method of forecasting based on high-order intuitionistic fuzzy time series data;Abhishekh;Progr. Artif. Intell.,2018

3. A new method of time series forecasting using intuitionistic fuzzy sets based on average-length;Abhishekh;J. Ind. Prod. Eng.,2020

4. A modified weighted fuzzy time series model for forecasting based on two factors logical relationship;Abhishekh;Int. J. Fuzzy Syst.,2019

5. Intuitionistic fuzzy sets;Atanassov;Fuzzy Sets and Systems,1986

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