Use of rough sets analysis to classify Siberian forest ecosystems according to net primary production of phytomass

Use of rough sets analysis to classify Siberian forest ecosystems according to net primary production of phytomass

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Article ID: iaor20011396
Country: Canada
Volume: 38
Issue: 3
Start Page Number: 145
End Page Number: 160
Publication Date: Aug 2000
Journal: INFOR
Authors: , , , , ,
Keywords: decision: rules, artificial intelligence: decision support
Abstract:

This paper attempts to identify attributes that are considered essential for a development of sustainable forest management practices in the Siberian forests. This goal is accomplished through an analysis of net primary production of phytomass (NPP), which is used to classify the Siberian ecoregions into compact and cohesive NPP performance classes. Rough Sets analysis is used as a data mining methodology for the evaluation of the Siberian forest database. In order to interpret relationships between various forest characteristics, relationships known as interesting rules are generated on a basis of a reduced problem description.

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