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Hybrid Modeling for Forecasting of Domestic Business Tourism Demand in Tehran

کلیدواژه: Regression,Adaptive Neuro-Fuzzy Inference System (ANFIS),Support Vector Regression (SVR) Algorithm,Business Tourism,Forecasting of Tourism Demand,Tehran

نویسندگان: ZANDI EBTEHAL

ناشر: میراث و گردشگری - HERITAGE AND TOURISM JOURNAL

One of the most important events in the tourism industry of each country is the demand for a product or destination of tourism. There will always be distances and deviations between actual and predicted values, but the use of scientific and modern methods of forecasting will cause the results to rea... ادامه

سال:2018

نوع سند: Article

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Hybrid Modeling for Forecasting of Domestic VFR Tourism Demand in Tehran

کلیدواژه: regression,adaptive neuro-fuzzy inference system (ANFIS),Support Vector Regression (SVR) Algorithm,VFR tourism,forecasting of domestic VFR tourism demand,Tehran

نویسندگان: FARZIN MOHAMMAD REZA, AFSAR AMIR, Dabir Alireza, ZANDI EBTEHAL

ناشر: برنامه ریزی و توسعه گردشگری - JOURNAL OF TOURISM PLANNING AND DEVELOPMENT

Most management decisions at all levels of the organization directly or indirectly depend on the state of future prediction, and through the same prediction that one can imagine a success or a status in the future, thereby minimizing risk or making any adjustments and adaptations in the program (Ins... ادامه

سال:2018

نوع سند: Article

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Hybrid Model of Forecasting Domestic Tourism Demand of Tehran City

کلیدواژه: Regression,Adaptive Neuro-Fuzzy Inference System (ANFIS),Support Vector Regression (SVR) Algorithm,Medical tourism,Forecasting of Domestic Tourism Demand

نویسندگان: FARZIN MOHAMMAD REZA, AFSAR AMIR, Dabir Alireza, ZANDI EBTEHAL

ناشر: گردشگری و توسعه - TOURISM AND DEVELOPMENT

In recent years, with the changing pattern of holidays and the formation of short-term holidays, cities have found the opportunity for tourism development. Four types of the most important types of domestic tourism in Tehran, based on the statistics of the National Center of Statistics and the views... ادامه

سال:2019

نوع سند: Article

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