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By Ger Devlin

ISBN-10: 9533070692

ISBN-13: 9789533070698

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Therefore forecasting requires a trustworthy tool to enhance accuracy before management decisions may be made. 44 Decision Support Systems, Advances in This chapter examines the use of non-neural network training and neural network training in rubber production forecasting to create a feasible forecasting model for the Thai rubber industry. This chapter is organized as follows: the Thai rubber industry situation is described in Section 2. Section 3 presents the methods which will be used in this study.

M. J. & Parry, T. (2001). Developing and applying a GIS-assisted approach to locating wind farms in the UK. ; Vincke, Ph. & Mareschal, B. (1986). How to select and how to rank projects: the PROMETHEE method. European Journal of Operational Research 24: 228–238. Cavallaro, F. & Ciraolo, L. (2005). A multicriteria approach to evaluate wind energy plants on an Italian Island. ; Parvathinathan, G. & Breeden, J. B. (2008). Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region, Journal of Environmental Management, 87, 139–153 Econotec Consultants.

Agronomie, Vol. 20, pp. T. (1993). Philosophy and terminology. A. (ed), Kluwer Academic Publishers, Dordrecht 24 Decision Support Systems, Advances in EISA (2001). A Common Codex for Integrated Farming. htm EITO (2001). European Information Technology Observatory 2001, Frankfurt European Information Technology Observatory (EITO) ENDURE (2009). ENDURE's definition of IPM. E. & Auburn, J. (1990). Sustainable agricultural systems: Concepts and definition. Journal of Agronomy and Crop Science, Vol.

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Advances In Decision Support Systems by Ger Devlin

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