A fuzzy inference-based approach for building damage risk assessment on mining terrains

2011 ◽  
Vol 33 (1) ◽  
pp. 163-170 ◽  
Author(s):  
A. Malinowska
2006 ◽  
Vol 21 (3-4) ◽  
pp. 463 ◽  
Author(s):  
K.H. Park ◽  
M.M.M. Soe ◽  
Y.J. Kim

1997 ◽  
Author(s):  
Daniel L. Johnson ◽  
John T. Yelverton ◽  
William Hicks ◽  
Barbara Merickel

2014 ◽  
Vol 20 (1) ◽  
pp. 82-94 ◽  
Author(s):  
Abdolreza Yazdani-Chamzini

Tunnels are artificial underground spaces that provide a capacity for particular goals such as storage, under-ground transportation, mine development, power and water treatment plants, civil defence. This shows that the tunnel construction is a key activity in developing infrastructure projects. In many situations, tunnelling projects find themselves involved in the situations where unexpected conditions threaten the continuity of the project. Such situations can arise from the prior knowledge limited by the underground unknown conditions. Therefore, a risk analysis that can take into account the uncertainties associated with the underground projects is needed to assess the existing risks and prioritize them for further protective measures and decisions in order to reduce, mitigate and/or even eliminate the risks involved in the project. For this reason, this paper proposes a risk assessment model based on the concepts of fuzzy set theory to evaluate risk events during the tunnel construction operations. To show the effectiveness of the proposed model, the results of the model are compared with those of the conventional risk assessment. The results demonstrate that the fuzzy inference system has a great potential to accurately model such problems.


Author(s):  
M. M. Biliaiev ◽  
O. V. Berlov ◽  
V. V. Biliaieva ◽  
V. A. Kozachyna ◽  
I. V. Kalashnikov

2015 ◽  
Vol 4 (2) ◽  
pp. 20-30
Author(s):  
Mohamamd Abdolshah

Before initiating a project, risks assessment, is a process that its importance has felt in past two decades and has taken a position in project activities. Project's managers apply risk assessment as a preventive method for highly possible risks having an unfavorable influence on project objectives. Risk assessment has implemented in three ways: qualitative, semi-qualitative (semi-qualitative) and quantitative. In this paper, the author reviews quantitative and semi-qualitative risk assessment methods in associated with fuzzy sets theory (FST). Moreover, considering three steps of risk assessment process, namely: definition and measurement of parameters, fuzzy inference and defuzzification, the author classified presented articles into three groups of giving opinion methods, assessment methods and defuzzification methods. It is avoided mentioning articles with same assessment methods in this paper. Although giving opinion methods and defuzzification methods have the potential to be worked on, late risk assessment surveys, demonstrate increasing attempt on developing comprehension and reality adjustment in project risk assessment methodologies.


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