Int. J. of Technology Intelligence and Planning   »   2011 Vol.7, No.3

 

 

Title: An application of fuzzy collaborative intelligence to unit cost forecasting with partial data access by security consideration

 

Author: Toly Chen

 

Address: Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung City 407, Taiwan

 

Abstract: Due to security considerations, integral access to unit cost data is often limited. As a result, it becomes extremely difficult to accurately predict unit cost. To solve this problem, a fuzzy collaborative forecasting approach is proposed in this study. In the proposed methodology, every expert uses a Fuzzy Linear Regression (FLR) equation to predict the unit cost. Subsequently, rather than the raw data, the forecasting results by an expert are conveyed to other experts to modify their settings, so that the actual values will be contained in the fuzzy forecasts after collaboration.

 

Keywords: fuzzy collaborative forecasting; fuzzy linear regression; unit cost forecasting; security; collaboration.

 

DOI: 10.1504/IJTIP.2011.044610

 

Int. J. of Technology Intelligence and Planning, 2011 Vol.7, No.3, pp.201 - 214

 

Available online: 30 Dec 2011

 

 

Editors Full text accessAccess for SubscribersPurchase this articleComment on this article