The existing tourism demand forecasting models in tourism are unable to capture useful information from a database with numeric and nonnumeric data. This article presents a new approach that applies the rough set theory to form a forecasting model for sightseeing expenditures in Hong Kong. The rough set theory deals with the classificatory analysis of imprecise, uncertain, or incomplete knowled...

The worsening atmospheric pollution increases the necessity of air quality early warning systems (EWSs). Despite the fact that a massive amount of investigation about EWS in theory and practicality has been conducted by numerous researchers, studies concerning the quantification of uncertain information and comprehensive evaluation are still lacking, which impedes further development in the are...

Emerging research has examined individual differences in affective forecasting; however, we are aware of no published study to date linking psychopathology symptoms to affective forecasting problems. Pitting cognitive theory against depressive realism theory, we examined whether dysphoria was associated with negatively biased affective forecasts or greater accuracy. Participants (n=325) supplie...

the purpose of resent research is to analysis and compares performance evaluation models of selected investment companies in tehran stock exchange market in the field of their portfolio management. the duration of research was between years 2009-2014. statistical society the research is consisting of all active investment companies in in tehran stock exchange market which were 30 companies. vol...

In the last two decades there have been substantial developments in the mathematical theory of inverse optimization problems, and their applications have expanded greatly. In parallel, time series analysis and forecasting have become increasingly important in various fields of research such as data mining, economics, business, engineering, medicine, politics, and many others. Despite the large ...

Flood simulation and forecasting in various types of watersheds is a hot issue in hydrology. Conceptual hydrological models have been widely applied to flood forecasting for decades. With the development of economy, modern China faces with severe flood disasters in all types of watersheds include humid, semi-humid semi-arid and arid watersheds. However, conceptual model-based flood forecasting ...

We briefly review forecasting features of typical data mining software, and we give the salient features of SIMForecaster, the existing forecasting system developed at Singapore Institute of Manufacturing Technology, Singapore. SIMForecaster has successfully been used for many important forecasting problems in industry. Demand forecasting of Short life span products involves unique issues and c...

The droplet size can influence the application of a spray system. We apply grey theory in establishing a model of forecasting droplet size. The example used in this study shows that this method is precise in forecasting the droplet size, and is helpful to choose the other parameters of a spray system within a certain droplet size.

Bayesian Forecasting encompasses statistical theory and methods in time series analysis and time series forecasting, particularly approaches using dynamic and state space models, though the underlying concepts and theoretical foundation relate to probability modelling and inference more generally. This entry focuses speciically in the time series and dynamic modelling domain, with mention of re...