aggregation is that the consensus ordering well reflects the input data, i.e., agents' judgements and importance. The scientific … literature encompasses several aggregation techniques, even if it does not include a versatile tool for a quantitative assessment … aggregation technique in use; for this reason, it can be applied to a variety of practical contexts and used to compare the …

is considered a dominant prediction model which is heavily used in forecasting in spite of the difficulties related to …

be served by using Data Mining techniques of forecasting. With the pool of forecasting techniques available, it is … efficiently forecast CRs in QFD. The tool allows for forecasting using various data mining based time series analysis techniques … that strongly assists in doing comparative analysis and evaluating out the most apt technique for forecasting of CRs. The …

Social media-based forecasting has received significant attention from academia and industries in recent years. With a …

techniques and tools for overcoming these problems and to improve the data quality and forecasting inferences. The proposed long …-term forecasting model can predict numerical values of effective attributes for a particular day on half-hourly basis, at least 24 … hours prior to the time of prediction. The proposed forecasting model for short-term analysis will be having access to data …