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Development of Fuzzy Time Series Model for Hotel Occupancy Forecasting
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Development of Fuzzy Time Series Model for Hotel Occupancy Forecasting (2019)Development of Fuzzy Time Series Model fo…Genetic algorithm based fuzzy time series tourism demand forecast model (2016)Genetic algorithm based fuzzy…A meta-analysis of international tourism demand forecasting and implications for practice (2014)A meta-analysis of internatio…Tourism demand forecasting using novel hybrid system (2013)Tourism demand forecasting us…Developing a hybrid intelligent model for forecasting problems: Case study of tourism demand time series (2013)Developing a hybrid intellige…The adaptive fuzzy time series model with an application to Taiwan’s tourism demand (2011)The adaptive fuzzy time serie…Forecasting Tourism Demand Using Time Series, Artificial Neural Networks and Multivariate Adaptive Regression Splines:Evidence from Taiwan (2011)Forecasting Tourism Demand Us…Combining linear and nonlinear model in forecasting tourism demand (2011)Combining linear and nonlinea…Constructing and applying an improved fuzzy time series model: Taking the tourism industry for example (2007)Constructing and applying an …Forecasting Short Time-Series Tourism Demand with Artificial Intelligence Models (2006)Forecasting Short Time-Series…Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention (2002)Modeling and forecasting tour…Heuristic models of fuzzy time series for forecasting (2001)Heuristic models of fuzzy tim…Time Series Prediction With Genetic‐Algorithm Designed Neural Networks: An Empirical Comparison With Modern Statistical Models (1999)Time Series Prediction With G…Forecasting enrollments based on fuzzy time series (1996)Forecasting enrollments based…Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting enrollments with …Fuzzy sets (1965)Fuzzy setsThe concept of a linguistic variable and its application to approximate reasoning—II (1975)Fuzzy sets (1996)Effective lengths of intervals to improve forecasting in fuzzy time series (2001)FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES (2002)Weighted fuzzy time series models for TAIEX forecasting (2004)Book Review: Time Series Analysis: Forecasting and Control (1977)Industrial and business forecasting methods (1982)Forecasting tourism demand: A review of empirical research (1995)Tourism demand modelling and forecasting—A review of recent research (2007)A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting (2019)COVID–19’s Impact on Stock Prices Across Different Sectors—An Event Study Based on the Chinese Stock Market (2020)Forecasting enrollments with fuzzy time series — part II (1994)The application of neural networks to forecast fuzzy time series (2005)Ratio-based lengths of intervals to improve fuzzy time series forecasting (2006)Time Series Analysis: Forecasting and Control (1977)Forecasting with artificial neural networks: (1998)Forecasting tourism demand by incorporating neural networks into Grey–Markov models (2018)A review of demand forecasting models and methodological developments within tourism and passenger transportation industry (2019)Time series forecasting of agricultural product prices based on recurrent neural networks and its evaluation method (2020)An Almost Ideal Demand System (1980)Another look at measures of forecast accuracy (2006)Bibliometric studies in tourism (2016)Forecasting tourism demand with composite search index (2016)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)THE DEMAND FOR HIGHER EDUCATION AND INSTITUTIONAL ENROLLMENT FORECASTING (1979)Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)DeepPF: A deep learning based architecture for metro passenger flow prediction (2019)Tourism Demand Forecasting with Neural Network Models: Different Ways of Treating Information (2014)Tourism forecasting: A review of methodological developments over the last decade (2018)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

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75 cited
  • 2007Constructing and applying an improved fuzzy time series model: Taking the tourism industry for example69 cited
  • 2016Genetic algorithm based fuzzy time series tourism demand forecast model37 cited
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