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Fuzzy forecasting based on high-order fuzzy logical relationships and automatic clustering techniques
16 references·16 citing·10 second hopsampled
Fuzzy forecasting based on high-order fuzzy logical relationships and automatic clustering techniques (2011)Fuzzy forecasting based on high-order fuz…Ratio-based lengths of intervals to improve fuzzy time series forecasting (2006)Ratio-based lengths of interv…Handling forecasting problems based on two-factors high-order fuzzy time series (2006)Handling forecasting problems…Fuzzy time-series based on adaptive expectation model for TAIEX forecasting (2006)Fuzzy time-series based on ad…The application of neural networks to forecast fuzzy time series (2005)The application of neural net…Weighted fuzzy time series models for TAIEX forecasting (2004)Weighted fuzzy time series mo…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…Temperature prediction using fuzzy time series (2000)Temperature prediction using …Handling forecasting problems using fuzzy time series (1998)Handling forecasting problems…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 …A comparison of fuzzy forecasting and Markov modeling (1994)A comparison of fuzzy forecas…Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting enrollments with …Fuzzy sets (1965)Fuzzy setsNovel distance measures for Pythagorean fuzzy sets with applications to pattern recognition problems (2019)Novel distance measures for P…Improved composite relation for pythagorean fuzzy sets and its application to medical diagnosis (2019)Improved composite relation f…Designing fuzzy time series forecasting models: A survey (2019)Designing fuzzy time series f…Prediction of TAIEX based on hybrid fuzzy time series model with single optimization process (2018)Prediction of TAIEX based on …Novel distance measures for cubic intuitionistic fuzzy sets and their applications to pattern recognitions and medical diagnosis (2018)Novel distance measures for c…Hybrid models for decision-making based on rough Pythagorean fuzzy bipolar soft information (2018)Hybrid models for decision-ma…Extended MABAC method based on divergence measures for multi-criteria assessment of programming language with interval-valued intuitionistic fuzzy sets (2018)Extended MABAC method based o…A hybrid fuzzy time series forecasting model based on granular computing and bio-inspired optimization approaches (2018)A hybrid fuzzy time series fo…A novel high-order weighted fuzzy time series model and its application in nonlinear time series prediction (2017)A novel high-order weighted f…A novel data partitioning and rule selection technique for modeling high-order fuzzy time series (2017)A novel data partitioning and…A brief review of modeling approaches based on fuzzy time series (2015)A brief review of modeling ap…Fuzzy forecasting based on automatic clustering and axiomatic fuzzy set classification (2014)Fuzzy forecasting based on au…An efficient time series forecasting model based on fuzzy time series (2013)An efficient time series fore…A high-order fuzzy time series forecasting model for internet stock trading (2013)A high-order fuzzy time serie…TAIEX Forecasting Using Fuzzy Time Series and Automatically Generated Weights of Multiple Factors (2012)TAIEX Forecasting Using Fuzzy…Partitions based computational method for high-order fuzzy time series forecasting (2012)Partitions based computationa…The concept of a linguistic variable and its application to approximate reasoning—II (1975)Forecasting enrollments using high-order fuzzy time series and genetic algorithms (2006)Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm (2010)Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques (2019)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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References

  • 1965Fuzzy sets67,827 cited
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  • 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
  • 2004Weighted fuzzy time series models for TAIEX forecasting463 cited
  • 2001Heuristic models of fuzzy time series for forecasting440 cited
  • 2000Temperature prediction using fuzzy time series400 cited
  • 1998Handling forecasting problems using fuzzy time series368 cited
  • 2005The application of neural networks to forecast fuzzy time series308 cited
  • 2006Ratio-based lengths of intervals to improve fuzzy time series forecasting306 cited
  • 1994A comparison of fuzzy forecasting and Markov modeling269 cited
  • 2006Handling forecasting problems based on two-factors high-order fuzzy time series246 cited
  • 2006Fuzzy time-series based on adaptive expectation model for TAIEX forecasting

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236 cited

Cited by

  • 2018A hybrid fuzzy time series forecasting model based on granular computing and bio-inspired optimization approaches137 cited
  • 2019Designing fuzzy time series forecasting models: A survey129 cited
  • 2012TAIEX Forecasting Using Fuzzy Time Series and Automatically Generated Weights of Multiple Factors128 cited
  • 2013A high-order fuzzy time series forecasting model for internet stock trading112 cited
  • 2015A brief review of modeling approaches based on fuzzy time series107 cited
  • 2013An efficient time series forecasting model based on fuzzy time series88 cited
  • 2018Hybrid models for decision-making based on rough Pythagorean fuzzy bipolar soft information86 cited
  • 2019Improved composite relation for pythagorean fuzzy sets and its application to medical diagnosis85 cited
  • 2012Partitions based computational method for high-order fuzzy time series forecasting79 cited
  • 2018Extended MABAC method based on divergence measures for multi-criteria assessment of programming language with interval-valued intuitionistic fuzzy sets74 cited
  • 2019Novel distance measures for Pythagorean fuzzy sets with applications to pattern recognition problems74 cited
  • 2014Fuzzy forecasting based on automatic clustering and axiomatic fuzzy set classification64 cited
  • 2017A novel data partitioning and rule selection technique for modeling high-order fuzzy time series60 cited
  • 2018Prediction of TAIEX based on hybrid fuzzy time series model with single optimization process56 cited
  • 2018Novel distance measures for cubic intuitionistic fuzzy sets and their applications to pattern recognitions and medical diagnosis56 cited
  • 2017A novel high-order weighted fuzzy time series model and its application in nonlinear time series prediction52 cited