کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
388338 | 660921 | 2012 | 9 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A fuzzy extended DELPHI method for adjustment of statistical time series prediction: An empirical study on dry bulk freight market case A fuzzy extended DELPHI method for adjustment of statistical time series prediction: An empirical study on dry bulk freight market case](/preview/png/388338.png)
This paper investigates the forecasting accuracy of fuzzy extended group decisions in the adjustment of statistical benchmark results. DELPHI is a frequently used method for implementing accurate group consensus decisions. The concept of consensus is subject to expert characteristics and it is sometimes ensured by a facilitator’s judgment. Fuzzy set theory deals with uncertain environments and has been adapted for DELPHI, called fuzzy-DELPHI (FD). The present paper extends the recent literature via an implementation of FD for the adjustment of statistical predictions. We propose a fuzzy-DELPHI adjustment process for improvement of accuracy and introduced an empirical study to illustrate its performance in the validation of adjustments of statistical forecasts in the dry bulk shipping index.
► The proposed Fuzzy-DELPHI method is developed to improve accuracy in adjustment of statistical forecasts.
► The limitations of the statistical extrapolation and the impact of sentiments are discussed.
► The Fuzzy-DELPHI is compared with the conventional ARIMA-GARCH framework and also with the base forecast of Naïve process.
Journal: Expert Systems with Applications - Volume 39, Issue 1, January 2012, Pages 840–848