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TAIFEX and KOSPI 200 forecasting based on two-factors high-order fuzzy time series and particle swarm optimization
9 references·16 citing·19 second hop
TAIFEX and KOSPI 200 forecasting based on two-factors high-order fuzzy time series and particle swarm optimization (2009)TAIFEX and KOSPI 200 forecasting based on…Handling forecasting problems based on two-factors high-order fuzzy time series (2006)Handling forecasting problems…FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES (2002)FORECASTING ENROLLMENTS BASED…Heuristic models of fuzzy time series for forecasting (2001)Heuristic models of fuzzy tim…Effective lengths of intervals to improve forecasting in fuzzy time series (2001)Effective lengths of interval…Fuzzy sets (1996)Fuzzy setsForecasting enrollments based on fuzzy time series (1996)Forecasting enrollments based…Forecasting enrollments with fuzzy time series — part II (1994)Forecasting enrollments with …Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting enrollments with …Fuzzy sets (1965)Fuzzy setsParticle swarm optimization and intuitionistic fuzzy set-based novel method for fuzzy time series forecasting (2021)Particle swarm optimization a…Fuzzy time series forecasting based on hesitant fuzzy sets, particle swarm optimization and support vector machine-based hybrid method (2021)Fuzzy time series forecasting…Prediction of TAIEX based on hybrid fuzzy time series model with single optimization process (2018)Prediction of TAIEX based on …High order fuzzy time series method based on pi-sigma neural network (2018)High order fuzzy time series …Recurrent type-1 fuzzy functions approach for time series forecasting (2017)Recurrent type-1 fuzzy functi…A novel high-order weighted fuzzy time series model and its application in nonlinear time series prediction (2017)A novel high-order weighted f…High order fuzzy time series forecasting method based on an intersection operation (2016)High order fuzzy time series …A hybrid fuzzy time series model based on ANFIS and integrated nonlinear feature selection method for forecasting stock (2016)A hybrid fuzzy time series mo…Fuzzy-time-series network used to forecast linear and nonlinear time series (2015)Fuzzy-time-series network use…A clustering based forecasting algorithm for multivariable fuzzy time series using linear combinations of independent variables (2015)A clustering based forecastin…PSO-based high order time invariant fuzzy time series method: Application to stock exchange data (2014)PSO-based high order time inv…Modeling fitting-function-based fuzzy time series patterns for evolving stock index forecasting (2014)Modeling fitting-function-bas…A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations (2013)A fuzzy time series approach …Time-series forecasting with a novel fuzzy time-series approach: an example for Istanbul stock market (2011)Time-series forecasting with …Fuzzy Time Series Forecasting With a Probabilistic Smoothing Hidden Markov Model (2011)Fuzzy Time Series Forecasting…Developing a Time Series Model Based on Particle Swarm Optimization for Gold Price Forecasting (2010)Developing a Time Series Mode…The concept of a linguistic variable and its application to approximate reasoning—II (1975)Weighted fuzzy time series models for TAIEX forecasting (2004)Time Series Analysis: Forecasting and Control (1977)Financial time series forecasting using support vector machines (2003)A Dual-Attention-Based Stock Price Trend Prediction Model With Dual Features (2019)Analysis of temporal pattern, causal interaction and predictive modeling of financial markets using nonlinear dynamics, econometric models and machine learning algorithms (2019)A Fuzzy Interval Time-Series Energy and Financial Forecasting Model Using Network-Based Multiple Time-Frequency Spaces and the Induced-Ordered Weighted Averaging Aggregation Operation (2020)The application of neural networks to forecast fuzzy time series (2005)Forecasting enrollments using high-order fuzzy time series and genetic algorithms (2006)Ratio-based lengths of intervals to improve fuzzy time series forecasting (2006)A neural network-based fuzzy time series model to improve forecasting (2009)TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups (2010)Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures (2015)Extensions of the TOPSIS for group decision-making under fuzzy environment (2000)An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field (2010)Science mapping software tools: Review, analysis, and cooperative study among tools (2011)Family resemblances: Studies in the internal structure of categories (1975)Basic objects in natural categories (1976)Soft set theory—First results (1999)
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  • 2002FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES518 cited
  • 2001Heuristic models of fuzzy time series for forecasting440 cited
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Cited by

  • 2016A hybrid fuzzy time series model based on ANFIS and integrated nonlinear feature selection method for forecasting stock85 cited
  • 2018High order fuzzy time series method based on pi-sigma neural network77 cited
  • 2021Particle swarm optimization and intuitionistic fuzzy set-based novel method for fuzzy time series forecasting76 cited
  • 2015Fuzzy-time-series network used to forecast linear and nonlinear time series64 cited
  • 2016High order fuzzy time series forecasting method based on an intersection operation61 cited
  • 2011Fuzzy Time Series Forecasting With a Probabilistic Smoothing Hidden Markov Model

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60 cited
  • 2015A clustering based forecasting algorithm for multivariable fuzzy time series using linear combinations of independent variables58 cited
  • 2018Prediction of TAIEX based on hybrid fuzzy time series model with single optimization process56 cited
  • 2013A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations56 cited
  • 2011Time-series forecasting with a novel fuzzy time-series approach: an example for Istanbul stock market55 cited
  • 2017A novel high-order weighted fuzzy time series model and its application in nonlinear time series prediction52 cited
  • 2014PSO-based high order time invariant fuzzy time series method: Application to stock exchange data51 cited
  • 2017Recurrent type-1 fuzzy functions approach for time series forecasting51 cited
  • 2010Developing a Time Series Model Based on Particle Swarm Optimization for Gold Price Forecasting48 cited
  • 2014Modeling fitting-function-based fuzzy time series patterns for evolving stock index forecasting48 cited
  • 2021Fuzzy time series forecasting based on hesitant fuzzy sets, particle swarm optimization and support vector machine-based hybrid method46 cited