The ever-increasing air traffic demand in China has brought huge pressure on the planning and management of, and investment in, air terminals as well as airline companies. In this context, accurate and adequate short-term air traffic forecasting is essential for the operations of those entities. In consideration of such a problem, a hybrid air traffic forecasting model based on empirical mode d...

The outbreak of the COVID-19 has brought about huge economic loss and civil aviation industries all over world have suffered severe damage. An effective method is urgently needed to accurately predict air-transport demand under influences such accidental factors. This paper proposes a novel predicting framework for considering uncertainties caused by factors including regional wars, climatic an...

در این مقاله یک مدل ریاضی برای مسئله سیستم تولیدی همکارانه ساخت بر اساس سفارش با رعایت انصاف تخصیص بار‌های تولید طراحی شده است. اهداف اصلی مدل، کمینه‌سازی هزینه‌‌های کل و حداکثر استفاده از منابع به‌منظور عادلانه شرایط عدم­قطعیت کنترل پارامتر‌های غیرقطعی روش برنامه‌ریزی فازی ‌شده نتایج نشان می‌دهد افزایش نرخ عدم‌قطعیت، می­یابد. ازآنجاکه ظرفیت کارخانه‌ها ثابت است، مقدار تقاضا، هر کارخانه نیز می­ی...

Background Hand-foot-and-mouth disease_(HFMD) is one of the most typical diseases in children that associated with high morbidity. Reliable forecasting crucial for prevention and control. Recently, hybrid models have become popular, wavelet analysis has been widely performed. Better prediction accuracy may be achieved using wavelet-based models. Thus, our aim to forecast number HFMD cases Mater...

TIn this paper, the Chilean tourism demand experienced during period 2000?2018 has been modelled using a linear regression model with dichotomous variables (MRL) and an ARIMA seasonal component (SARIMA). The results show that SARIMA approach is more effective in replicating non?stationary, non?linear behaviour presence of seasonality series, forecasts obtained from presenting low rate error, ca...