The fuzzy set theory offers a bridge between the symbolic and numerical processing, allowing managing qualitative concepts useful in the decision-making process related to the seismic risk management and, in general, to the disaster risk management. Its use in the seismic risk evaluation is necessary in the cases where the data required to apply a conventional method of assessing risk are not available or are insufficient. One possible solution, considered in this article, is to replace the missing information by expert opinions and to process the resulting qualitative variables and linguistic qualifications instead of numerical values. This process is based on the fuzzy set theory. In order to achieve an effective management, the risk must...
This paper describes a fuzzy set based approach for dealing with uncertainties in the assessment of ...
One of the most critical challenges in preventive planning and disaster management is the multitudin...
We create a set of synthetic seismic risk scenarios by combining stochastic seismic simulations with...
The fuzzy set theory offers a bridge between the symbolic and numerical processing, allowing managin...
Risk is defined, for management purposes, as the potential economic, social and environmental conseq...
The risk evaluation of geological hazard is a very difficult work because many factors impact the ge...
The seismic risk evaluation usually works with a fragmented concept of risk, which depends on the sc...
This paper describes a fuzzy set based approach for dealing with uncertainies in the assessment of “...
To define the damages buildings have suffered due to the past earthquakes, the information we have a...
none5noThis paper describes a fuzzy set based approach for dealing with uncertainties in the assessm...
Seismic risk management is a problem of many dimensions, involving multiple inputs, interactions wi...
Risk assessment of natural and other disasters in the Republic of Serbia is defined using special me...
Earthquakes pose a predominant risk to cities in seismically prone areas. This paper addresses the n...
Earthquakes are one of the natural disasters that threaten many lives every year. It is important to...
This paper describes a fuzzy set based approach for dealing with uncertainies in the assessment of “...
This paper describes a fuzzy set based approach for dealing with uncertainties in the assessment of ...
One of the most critical challenges in preventive planning and disaster management is the multitudin...
We create a set of synthetic seismic risk scenarios by combining stochastic seismic simulations with...
The fuzzy set theory offers a bridge between the symbolic and numerical processing, allowing managin...
Risk is defined, for management purposes, as the potential economic, social and environmental conseq...
The risk evaluation of geological hazard is a very difficult work because many factors impact the ge...
The seismic risk evaluation usually works with a fragmented concept of risk, which depends on the sc...
This paper describes a fuzzy set based approach for dealing with uncertainies in the assessment of “...
To define the damages buildings have suffered due to the past earthquakes, the information we have a...
none5noThis paper describes a fuzzy set based approach for dealing with uncertainties in the assessm...
Seismic risk management is a problem of many dimensions, involving multiple inputs, interactions wi...
Risk assessment of natural and other disasters in the Republic of Serbia is defined using special me...
Earthquakes pose a predominant risk to cities in seismically prone areas. This paper addresses the n...
Earthquakes are one of the natural disasters that threaten many lives every year. It is important to...
This paper describes a fuzzy set based approach for dealing with uncertainies in the assessment of “...
This paper describes a fuzzy set based approach for dealing with uncertainties in the assessment of ...
One of the most critical challenges in preventive planning and disaster management is the multitudin...
We create a set of synthetic seismic risk scenarios by combining stochastic seismic simulations with...