Data Mining in Decision Support for Bioenergy Production

Data Mining in Decision Support for Bioenergy Production

Nasser Ayoub (Tokyo Institute of Technology, Japan and Helwan University, Egypt) and Yuji Naka (Tokyo Institute of Technology, Japan)
DOI: 10.4018/978-1-61520-969-9.ch066
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Abstract

This chapter presents Data Mining, DM, as a planning and decision support tool for biomass resources management to produce bioenergy. Furthermore, the decision making problem for bioenergy production is defined. A Decision Support System, DSS that utilizes a DM technique, e.g. clustering, integrated with other group of techniques and tools, such as Genetic Algorithms, GA, Life Cycle Assessment, Geographical Information System, GIS, etc, is presented. A case study that shows how to tackle the decision making problem is also shown.

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