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Journal of the Operational Research Society Volume 70, 2019 - Issue 1
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Original Articles

Forecasting tourism demand by incorporating neural networks into Grey–Markov models

Yi-Chung HuCollege of Management & College of Tourism, Fujian Agriculture and Forestry University, Fuzhou City, China;Department of Business Administration, Chung Yuan Christian University, Taoyuan City, TaiwanCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0003-3090-1515
ORCID Icon,
Peng JiangSchool of Economics and Management, Dalian Ocean University, Dalian, China
&
Ping-Chuan LeeDepartment of Business Administration, Chung Yuan Christian University, Taoyuan City, Taiwan
Pages 12-20 | Received 27 Mar 2017, Accepted 13 Dec 2017, Published online: 21 Feb 2018

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Yi-Chung Hu. (2023) Tourism combination forecasting using a dynamic weighting strategy with change-point analysis. Current Issues in Tourism 26:14, pages 2357-2374.
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Yi-Chung Hu. (2021) Forecasting the demand for tourism using combinations of forecasts by neural network-based interval grey prediction models. Asia Pacific Journal of Tourism Research 26:12, pages 1350-1363.
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Fuxiang Liu, Wenzhang Guo, Ran Liu & Jun Liu. (2021) Improved load forecasting model based on two-stage optimization of gray model with fractional order accumulation and Markov chain. Communications in Statistics - Theory and Methods 50:11, pages 2659-2673.
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Articles from other publishers (34)

Qian Tang, Yuzhuo Qiu & Lan Xu. (2022) Forecasting the demand for cold chain logistics of agricultural products with Markov-optimised mean GM (1, 1) model—a case study of Guangxi Province, China. Kybernetes 53:1, pages 314-336.
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Yong Seog Kim. 2024. Intelligent Systems and Applications. Intelligent Systems and Applications 17 35 .
İhsan Erdem Kayral, Tuğba Sarı & Nisa Şansel Tandoğan Aktepe. (2023) Forecasting the Tourist Arrival Volumes and Tourism Income with Combined ANN Architecture in the Post COVID-19 Period: The Case of Turkey. Sustainability 15:22, pages 15924.
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Yi-Chung Hu. (2023) Forecast combination using grey prediction with fuzzy integral and time-varying weighting in tourism. Grey Systems: Theory and Application 13:4, pages 808-827.
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Yi-Chung Hu, Geng Wu & Peng Jiang. (2021) Tourism Demand Forecasting Using Nonadditive Forecast Combinations. Journal of Hospitality & Tourism Research 47:5, pages 775-799.
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Yi-Chung Hu. (2022) Nonadditive tourism forecast combination using grey relational analysis. Grey Systems: Theory and Application 13:2, pages 277-296.
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Peng Jiang & Yi-Chung Hu. (2022) Constructing interval models using neural networks with non-additive combinations of grey prediction models in tourism demand. Grey Systems: Theory and Application 13:1, pages 58-77.
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Ani Shabri, Ruhaidah Samsudin, Faisal Saeed & Mohammed Al-Sarem. 2023. Advances on Intelligent Computing and Data Science. Advances on Intelligent Computing and Data Science 160 170 .
Yi-Chung Hu & Geng Wu. (2022) The impact of Google Trends index and encompassing tests on forecast combinations in tourism. Tourism Review 77:5, pages 1276-1298.
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Yi-Chung Hu. (2021) Demand forecasting of green metal materials using non-equidistant grey prediction with robust nonlinear interval regression analysis. Environment, Development and Sustainability 24:8, pages 9809-9831.
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Wanli Xie, Wen-Ze Wu, Chong Liu & Mark Goh. (2022) Generalized fractional grey system models: The memory effects perspective. ISA Transactions 126, pages 36-46.
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Yi-Chung Hu & Wen-Bao Wang. (2022) Nonlinear interval regression analysis with neural networks and grey prediction for energy demand forecasting. Soft Computing 26:14, pages 6529-6545.
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Cuiwei Li & Liang Qiao. (2022) Rapid Prediction Algorithm for Economic Development Trend of Tourism Using Markov Chain. Mobile Information Systems 2022, pages 1-8.
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Xiaozhong Tang & Naiming Xie. (2022) A self-adaptive grey forecasting model and its application. Journal of Systems Engineering and Electronics 33:3, pages 665-673.
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Yulei Li, Zhibin Lin & Sarah Xiao. (2022) Using social media big data for tourist demand forecasting: A new machine learning analytical approach. Journal of Digital Economy 1:1, pages 32-43.
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Yi-Chung Hu. (2022) Combination forecasting using multiple attribute decision making in tourism demand. Tourism Review 77:3, pages 731-750.
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Bin Li & Jing Gao. (2022) Regional Tourism Economic Forecasting Model Based on GM Grey Forecasting Method. Mathematical Problems in Engineering 2022, pages 1-9.
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Xiaozhong Tang, Naiming Xie & Aqin Hu. (2021) Forecasting annual foreign tourist arrivals to China by incorporating firefly algorithm into fractional non-homogenous discrete Grey model. Kybernetes 51:2, pages 676-693.
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Sule Birim, Ipek Kazancoglu, Sachin Kumar Mangla, Aysun Kahraman & Yigit Kazancoglu. (2022) The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods. Annals of Operations Research.
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Kıymet Kaya, Yaren Yılmaz, Yusuf Yaslan, Şule Gündüz Öğüdücü & Furkan Çıngı. (2022) Demand forecasting model using hotel clustering findings for hospitality industry. Information Processing & Management 59:1, pages 102816.
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Jung-Kai Tsai & Chih-Hsing Hung. (2021) Improving AdaBoost Classifier to Predict Enterprise Performance after COVID-19. Mathematics 9:18, pages 2215.
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R. Rajesh, Arun Kumar Agariya & Chandrasekharan Rajendran. (2021) Predicting resilience in retailing using grey theory and moving probability based Markov models. Journal of Retailing and Consumer Services 62, pages 102599.
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Leping Tu, Yan Chen & Lifeng Wu. (2021) Grey Forecast Model with Aging Fractional Accumulation and Its Properties. Journal of Mathematics 2021, pages 1-12.
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Xin-bo Yang. (2021) A Novel Extrapolation-Based Grey Prediction Model for Forecasting China’s Total Electricity Consumption. Mathematical Problems in Engineering 2021, pages 1-9.
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Tao Peng, Jian Chen, Chenjie Wang & Yanshi Cao. (2021) A Forecast Model of Tourism Demand Driven by Social Network Data. IEEE Access 9, pages 109488-109496.
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Baolei Wei & Naiming Xie. (2020) On unified framework for discrete-time grey models: Extensions and applications. ISA Transactions 107, pages 1-11.
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Yi-Chung Hu & Peng Jiang. (2020) Fuzzified grey prediction models using neural networks for tourism demand forecasting. Computational and Applied Mathematics 39:3.
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Agustín J. Sánchez-Medina & Eleazar C-Sánchez. (2020) Using machine learning and big data for efficient forecasting of hotel booking cancellations. International Journal of Hospitality Management 89, pages 102546.
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Yan Li, Yigang Wei & Zhang Dong. (2020) Will China Achieve Its Ambitious Goal?—Forecasting the CO2 Emission Intensity of China towards 2030. Energies 13:11, pages 2924.
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Ani Shabri, Ruhaidah Samsudin & Yusliza Yusoff. (2020) Combining Deep Neural Network and Fourier Series for Tourist Arrivals Forecasting. IOP Conference Series: Materials Science and Engineering 864:1, pages 012094.
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Yi-Chung Hu. (2019) A multivariate grey prediction model with grey relational analysis for bankruptcy prediction problems. Soft Computing 24:6, pages 4259-4268.
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Wei Jiang, Jianzhong Zhou, Yanhe Xu, Jie Liu & Yahui Shan. (2019) Multistep Degradation Tendency Prediction for Aircraft Engines Based on CEEMDAN Permutation Entropy and Improved Grey–Markov Model. Complexity 2019, pages 1-18.
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Baolei Wei, Naiming Xie & Lu Yang. (2019) Understanding cumulative sum operator in grey prediction model with integral matching. Communications in Nonlinear Science and Numerical Simulation, pages 105076.
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Keqing Li, Wenxing Lu, Changyong Liang & Binyou Wang. (2019) Intelligence in Tourism Management: A Hybrid FOA-BP Method on Daily Tourism Demand Forecasting with Web Search Data. Mathematics 7:6, pages 531.
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