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Forecasting tourism demand by fuzzy time series models
16 references·0 citing·29 second hopsampled
Forecasting tourism demand by fuzzy time series models (2012)Forecasting tourism demand by fuzzy time …A bivariate fuzzy time series model to forecast the TAIEX (2007)A bivariate fuzzy time series…Ratio-based lengths of intervals to improve fuzzy time series forecasting (2006)Ratio-based lengths of interv…The application of neural networks to forecast fuzzy time series (2005)The application of neural net…Forecasting international tourist flows to Macau (2005)Forecasting international tou…Designing an artificial neural network for forecasting tourism time series (2005)Designing an artificial neura…A comparative study of autoregressive neural network hybrids (2005)A comparative study of autore…Weighted fuzzy time series models for TAIEX forecasting (2004)Weighted fuzzy time series mo…A comparison of three different approaches to tourist arrival forecasting (2003)A comparison of three differe…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…A practitioners guide to time-series methods for tourism demand forecasting — a case study of Durban, South Africa (2001)A practitioners guide to time…Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting (2000)Back-propagation learning in …A neural network model to forecast Japanese demand for travel to Hong Kong (1999)A neural network model to for…Handling forecasting problems using fuzzy time series (1998)Handling forecasting problems…Forecasting enrollments based on fuzzy time series (1996)Forecasting enrollments based…Forecasting tourism demand: A review of empirical research (1995)Forecasting tourism demand: A…Classifying Tourists into Market Segments (1992)An Econometric Classification and Review of International Tourism Demand Models (1997)Recent Developments in Econometric Modeling and Forecasting (2005)A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting (2019)AI in marketing, consumer research and psychology: A systematic literature review and research agenda (2021)Fuzzy sets (1965)The concept of a linguistic variable and its application to approximate reasoning—II (1975)Fuzzy sets (1996)FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES (2002)Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting enrollments with fuzzy time series — part II (1994)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control. (1978)Tourism demand modelling and forecasting—A review of recent research (2007)Analysis of international tourist arrivals in China: The role of World Heritage Sites (2009)Time series analysis forecasting and control (2009)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Forecasting with artificial neural networks: (1998)Principles of Forecasting (2001)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 statistical theory of spatial distribution models (1967)An Almost Ideal Demand System (1980)Error measures for generalizing about forecasting methods: Empirical comparisons (1992)The role of transport infrastructure in international tourism development: A gravity model approach (2007)Decision support and expert systems (1993)Temperature prediction using fuzzy time series (2000)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)
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References

  • 1996Forecasting enrollments based on fuzzy time series1,196 cited
  • 1995Forecasting tourism demand: A review of empirical research896 cited
  • 2001Effective lengths of intervals to improve forecasting in fuzzy time series589 cited
  • 2004Weighted fuzzy time series models for TAIEX forecasting474 cited
  • 2001Heuristic models of fuzzy time series for forecasting447 cited
  • 1998Handling forecasting problems using fuzzy time series372 cited
  • 2000Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting355 cited
  • 2003A comparison of three different approaches to tourist arrival forecasting328 cited
  • 2005The application of neural networks to forecast fuzzy time series310 cited
  • 1999A neural network model to forecast Japanese demand for travel to Hong Kong309 cited
  • 2006Ratio-based lengths of intervals to improve fuzzy time series forecasting309 cited
  • 2005Designing an artificial neural network for forecasting tourism time series286 cited
  • 2005Forecasting international tourist flows to Macau273 cited
  • 2001A practitioners guide to time-series methods for tourism demand forecasting — a case study of Durban, South Africa250 cited
  • 2007

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A bivariate fuzzy time series model to forecast the TAIEX
220 cited
  • 2005A comparative study of autoregressive neural network hybrids219 cited
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