A novel intuitionistic fuzzy time series prediction model with cascaded structure for financial time series
Financial time series prediction problems, for decision-makers, are always crucial as they
have a wide range of applications in the public and private sectors. This study presents a …
have a wide range of applications in the public and private sectors. This study presents a …
Intuitionistic fuzzy time series functions approach for time series forecasting
Fuzzy inference systems have been commonly used for time series forecasting in the
literature. Adaptive network fuzzy inference system, fuzzy time series approaches and fuzzy …
literature. Adaptive network fuzzy inference system, fuzzy time series approaches and fuzzy …
Mobility pattern recognition based prediction for the subway station related bike-sharing trips
The free-floating bike-sharing (BS) system plays an important role in connection with the
public transit system. However, few studies have addressed the impacts of the subway …
public transit system. However, few studies have addressed the impacts of the subway …
A fuzzy regression functions approach based on Gustafson-Kessel clustering algorithm
E Bas, E Egrioglu - Information Sciences, 2022 - Elsevier
Fuzzy inference systems, referring to a system that works on fuzzy sets, have been used in
many areas such as classification, information order, especially in the field of forecasting …
many areas such as classification, information order, especially in the field of forecasting …
Recurrent fuzzy time series functions approaches for forecasting
The recurrent fuzzy time series function method can be obtained in two ways. First is using a
similar model to the autoregressive moving average to obtain fuzzy functions and the …
similar model to the autoregressive moving average to obtain fuzzy functions and the …
Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation
M Mokhtia, M Eftekhari, F Saberi-Movahed - Knowledge-Based Systems, 2021 - Elsevier
In this paper, three novel frameworks based on the widespread regression methods Ridge,
LASSO and Elastic Net are established to perform the task of feature selection. The …
LASSO and Elastic Net are established to perform the task of feature selection. The …
Robust intuitionistic fuzzy regression functions approaches
E Egrioglu, E Bas - Information Sciences, 2023 - Elsevier
The fuzzy regression functions approach is a fuzzy inference system that is not rule-based
and not based on expert knowledge, unlike classical fuzzy inference systems. The fuzzy …
and not based on expert knowledge, unlike classical fuzzy inference systems. The fuzzy …
Multivariate intuitionistic fuzzy inference system for stock market prediction: The cases of Istanbul and Taiwan
Many of decision-making and policy planning processes involve a time-series prediction
problem and so this area has extensive literature including a great variety of time-series …
problem and so this area has extensive literature including a great variety of time-series …
A hybrid sigma-pi neural network for combined intuitionistic fuzzy time series prediction model
SN Arslan, O Cagcag Yolcu - Neural Computing and Applications, 2022 - Springer
Intuitionistic fuzzy time series models consider observations hesitation degree but they use
memberships and non-membership values together as inputs in the prediction system. The …
memberships and non-membership values together as inputs in the prediction system. The …
Type-1 fuzzy forecasting functions with elastic net regularization
N Tak, D İnan - Expert Systems with Applications, 2022 - Elsevier
Fuzzy functions have recently been used for forecasting problems. The main concepts
behind a fuzzy functions are to cluster the inputs using a fuzzy clustering method and to …
behind a fuzzy functions are to cluster the inputs using a fuzzy clustering method and to …