Fuzzy-based quality classification model for natural building stone blocks

被引：14
作者：
Akkoyun, Ozgur
Toprak, Z. Fuat
机构：
[1] Dicle University, Engineering Faculty, Department of Mining Engineering
[2] Dicle University, Engineering Faculty, Department of Civil Engineering
来源：
ENGINEERING GEOLOGY | 2012年 / 133卷
关键词：
Fuzzy logic; Marble quality classification; Marble block classification; Image analysis; Marble block quality; LOGIC; SYSTEM; INDEX;
D O I：
10.1016/j.enggeo.2012.02.016
中图分类号：
P5 [地质学];
学科分类号：
0709 ; 081803 ;
摘要：
Natural building stones (NBS) have been used since ancient times as decoration and as construction material. The first form of NBS products is a raw stone block. International trading of NBS blocks is very important, because almost half of all commercial activity in the NBS industry involves trading of quarried raw NBS blocks. Currently, however, there is no internationally accepted quality classification system for NBS block trading in the market. The commonly applied classification depends on stone dimensions, colour, textures, and poor-quality properties such as fissures-fractures and fossils. The definitions and limitations of this classification are not exactly clear, because every NBS block has different properties. Therefore, in this study, a fuzzy model was developed to classify the qualities of NBS blocks according to their physical and colour properties. The study shows that fuzzy set theory could effectively overcome current classification uncertainties. (C) 2012 Elsevier B.V. All rights reserved.
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页码：66 / 75
页数：10
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