Author
Abstract
This paper aims to identify the technological proximity between tropical timber species from the Congo Basin. The analysed properties were correlated with mechanical performances and physical behaviour of glulam and glue joints. Deterministic clustering defines six homogeneous clusters. The fuzzy clustering provides a more refined picture where proximity between species can be quantified as a progressive concept. The results of this analysis may help the development of engineered tropical wood products, namely, glulam while preserving endangered timber species.
For further details log on website :
https://www.jstor.org/stable/43748074?Search=yes&resultItemClick=true&&searchUri=%2Ftopic%2Ftropical-forests%2F%3Frefreqid%3Dexcelsior%253A52d8b8c4a68e793d4e54a689dcae7465
R Oum Lissouck, R Pommier, D Breysse, LM Ayina Ohandja and R Dong A Mansié
Journal of Tropical Forest Science
Vol. 28, No. 1 (January 2016), pp. 4-20
Published by: Forest Research Institute Malaysia
Stable URL: http://www.jstor.org/stable/43748074
Page Count: 17
Abstract
This paper aims to identify the technological proximity between tropical timber species from the Congo Basin. The analysed properties were correlated with mechanical performances and physical behaviour of glulam and glue joints. Deterministic clustering defines six homogeneous clusters. The fuzzy clustering provides a more refined picture where proximity between species can be quantified as a progressive concept. The results of this analysis may help the development of engineered tropical wood products, namely, glulam while preserving endangered timber species.
For further details log on website :
https://www.jstor.org/stable/43748074?Search=yes&resultItemClick=true&&searchUri=%2Ftopic%2Ftropical-forests%2F%3Frefreqid%3Dexcelsior%253A52d8b8c4a68e793d4e54a689dcae7465
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