Hybrid Modeling for Forecasting of Domestic VFR Tourism Demand in Tehran

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FARZIN MOHAMMAD REZA; AFSAR AMIR; Dabir Alireza; ZANDI EBTEHAL

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Paper Information

Journal: JOURNAL OF TOURISM PLANNING AND DEVELOPMENT Year:2018 | Volume:7 | Issue:26 Page(s): 122-145

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Information Journal Paper

Title

Hybrid Modeling for Forecasting of Domestic VFR Tourism Demand in Tehran

Author(s)

FARZIN MOHAMMAD REZA | AFSAR AMIR | Dabir Alireza | ZANDI EBTEHAL | Issue Writer Certificate

Keywords

regressionQ2

adaptive neuro-fuzzy inference system (ANFIS)Q1

Support Vector Regression (SVR) AlgorithmQ1

VFR tourismQ1

forecasting of domestic VFR tourism demandQ1

TehranQ1

Abstract

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 (Inskeep, 2004)...

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APA: Copy

FARZIN, MOHAMMAD REZA, AFSAR, AMIR, Dabir, Alireza, & ZANDI, EBTEHAL. (2018). Hybrid Modeling for Forecasting of Domestic VFR Tourism Demand in Tehran. JOURNAL OF TOURISM PLANNING AND DEVELOPMENT, 7(26 ), 122-145. SID. https://sid.ir/paper/386976/en

Vancouver: Copy

FARZIN MOHAMMAD REZA, AFSAR AMIR, Dabir Alireza, ZANDI EBTEHAL. Hybrid Modeling for Forecasting of Domestic VFR Tourism Demand in Tehran. JOURNAL OF TOURISM PLANNING AND DEVELOPMENT[Internet]. 2018;7(26 ):122-145. Available from: https://sid.ir/paper/386976/en

IEEE: Copy

MOHAMMAD REZA FARZIN, AMIR AFSAR, Alireza Dabir, and EBTEHAL ZANDI, “Hybrid Modeling for Forecasting of Domestic VFR Tourism Demand in Tehran,” JOURNAL OF TOURISM PLANNING AND DEVELOPMENT, vol. 7, no. 26 , pp. 122–145, 2018, [Online]. Available: https://sid.ir/paper/386976/en

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