SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
ARMA(p,q) type high order fuzzy time series forecast method based on fuzzy logic relations
16 references·4 citing·19 second hop
ARMA(p,q) type high order fuzzy time series forecast method based on fuzzy logic relations (2017)ARMA(p,q) type high order fuzzy time seri…Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and the Probabilities of Trends of Fuzzy Logical Relationships (2014)Fuzzy Forecasting Based on Tw…A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression (2014)A new fuzzy time series forec…TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups (2010)TAIEX Forecasting Based on Fu…A neural network-based fuzzy time series model to improve forecasting (2009)A neural network-based fuzzy …Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations (2008)Forecasting in high order fuz…A new approach for determining the length of intervals for fuzzy time series (2008)A new approach for determinin…Ratio-based lengths of intervals to improve fuzzy time series forecasting (2006)Ratio-based lengths of interv…Multi-attribute fuzzy time series method based on fuzzy clustering (2006)Multi-attribute fuzzy time se…The application of neural networks to forecast fuzzy time series (2005)The application of neural net…FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES (2002)FORECASTING ENROLLMENTS BASED…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 setsHidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices (2024)Hidden Markov guided Deep Lea…A novel high-order fuzzy time series forecasting method based on probabilistic fuzzy sets (2019)A novel high-order fuzzy time…Prediction of TAIEX based on hybrid fuzzy time series model with single optimization process (2018)Prediction of TAIEX based on …Performance analysis of a higher order neural network with an improved shuffled frog leaping algorithm for currency exchange rate prediction (2018)Performance analysis of a hig…The concept of a linguistic variable and its application to approximate reasoning—II (1975)Weighted fuzzy time series models for TAIEX forecasting (2004)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Forecasting with artificial neural networks: (1998)A Type 2 fuzzy time series model for stock index forecasting (2005)Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs) (2008)A hybrid fuzzy time series model based on granular computing for stock price forecasting (2014)Applied Economic Forecasting (1967)Introductory Econometrics for Finance (2008)Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures (2015)A new time invariant fuzzy time series forecasting method based on particle swarm optimization (2012)A big data driven framework for demand-driven forecasting with effects of marketing-mix variables (2019)Forecasting enrollments using high-order fuzzy time series and genetic algorithms (2006)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)
this work references cited by second hop

References

  • 1965Fuzzy sets67,827 cited
  • 1996Fuzzy sets46,880 cited
  • 1993Forecasting enrollments with fuzzy time series — Part I1,255 cited
  • 1996Forecasting enrollments based on fuzzy time series1,186 cited
  • 1994Forecasting enrollments with fuzzy time series — part II789 cited
  • 2001Effective lengths of intervals to improve forecasting in fuzzy time series583 cited
  • 2002FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES518 cited
  • 2005The application of neural networks to forecast fuzzy time series308 cited
  • 2006Ratio-based lengths of intervals to improve fuzzy time series forecasting306 cited
  • 2009A neural network-based fuzzy time series model to improve forecasting211 cited
  • 2006Multi-attribute fuzzy time series method based on fuzzy clustering192 cited
  • 2008Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations182 cited
  • 2010TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups177 cited
  • 2014A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression177 cited
  • 2014Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and the Probabilities of Trends of Fuzzy Logical Relationships

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

135 cited
  • 2008A new approach for determining the length of intervals for fuzzy time series133 cited
  • Cited by

    • 2024Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices57 cited
    • 2018Performance analysis of a higher order neural network with an improved shuffled frog leaping algorithm for currency exchange rate prediction57 cited
    • 2018Prediction of TAIEX based on hybrid fuzzy time series model with single optimization process56 cited
    • 2019A novel high-order fuzzy time series forecasting method based on probabilistic fuzzy sets39 cited