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

Authors: Toly Chen

Addresses: 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

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

Available online: 30 Dec 2011 *

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