EconPapers    
Economics at your fingertips  
 

FORECASTING IN FUZZY SYSTEMS

Hsiao-Fan Wang () and Ruey-Chyn Tsaur ()
Additional contact information
Hsiao-Fan Wang: Department of Industry Engineering and Engineering Management, National Tsing Hua University, 101, Section 2, Kuang-Fu Road, Hsinchu, Taiwan, R.O.C.
Ruey-Chyn Tsaur: Department of Management Sciences and Decision Making, Tamkang University, No.151, Ying-Chuan Road, Tamsui, Taipei, Taiwan, R.O.C.

International Journal of Information Technology & Decision Making (IJITDM), 2011, vol. 10, issue 02, 333-352

Abstract: Fuzzy regression has been applied to marketing, management, and sales forecasting for many years. In this paper, two types of forecasting methods within the framework of fuzzy regression analysis are discussed. The first type is a conventional forecasting method, which intends to find the value of a dependent variable when the given values of independent variables are beyond the range covered by historical data. The second type considers forecasting in which the necessary values of independent variables are desired when the given value of a dependent variable does not fall within the range of historical data. While the first type can be applied in planning, the second one is useful for control and management. Numerical examples are provided for illustration.

Keywords: Fuzzy linear regression; forecasting; extrapolation; independent variable; dependent variable (search for similar items in EconPapers)
Date: 2011
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S021962201100435X
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:10:y:2011:i:02:n:s021962201100435x

Ordering information: This journal article can be ordered from

DOI: 10.1142/S021962201100435X

Access Statistics for this article

International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi

More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-03-20
Handle: RePEc:wsi:ijitdm:v:10:y:2011:i:02:n:s021962201100435x