DECISION SUPPORT SYSTEM FOR CLASSIFICATION OF NATURAL RISK IN MARITIME CONSTRUCTION

被引：0

作者：

Garcia Tamargo, Marco Antonio ^{[1
]}

Alguero Garcia, Alfredo S. ^{[1
]}

Castro Amigo, Victor ^{[1
]}

Bilbao Terol, Amelia ^{[2
]}

Alonso Quintanilla, Andres ^{[3
]}

机构：

[1] Univ Oviedo, Dept Informat Technol, Campus Viesques, Gijon 33204, Spain

[2] Univ Oviedo, Dept Quantitat Econ, E-33006 Oviedo, Spain

[3] FCC, Oviedo, Spain

来源：

ICEIS 2009 : PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL AIDSS | 2009年

关键词：

Decision-making support; Artificial intelligence; Data mining; Risk prevention; Building of maritime works;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The objective of this paper is the prevention of workplace hazards in maritime works - ports, drilling and others - that may arise from the natural surroundings: tides, wind, visibility, rain and so on. On the basis of both historical and predicted data in certain variables, a system has been designed that uses data mining techniques to provide prior decision-making support as to whether to execute given work on a particular day. The system also yields a numerical evaluation of the risk of performing the activity according to the additional circumstances affecting it: the number of workers and the machinery involved, the estimated monetary cost of an accident and so on.

引用

页码：138 / 143

页数：6