A fuzzy decision support tool for demand forecasting

被引：0

作者：

Bermudez, Jose D. ^{[1
]}

Segura, Jose V. ^{[2
]}

Vercher, Enriqueta ^{[3
]}

机构：

[1] Univ Valencia, Dept Estadist & Invest Operat, Dr Moliner 50, Burjassot 46100, Spain

[2] Univ Miguel Hernandez, Ctr Investigac Operat, Elche 03202, Spain

[3] Univ Valencia, Dept Estadist & IO, Burjassot 46100, Spain

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4 | 2007年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we present a decision support forecasting system to work with univariate time series based on the generalized exponential smoothing (Holt-Winters) approach. It is conceived as an integrated tool which has been implemented in Visual Basic. For improving the accuracy of the automatic forecasting it uses an optimization-based scheme which unifies the stages of estimation of the parameters and selects the best method using a fuzzy multicriteria approach. The elements of the set of local minima of the non-linear programming problems allow us to build the membership functions of the conflicting objectives. A set of real data is analyzed to show the performance of our forecasting tool.

引用

页码：433 / +

页数：2

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