Fuzzy multicriteria for developing a risk management system in seismically prone areas

Vahdat, Kamran; Smith, N. J. T.; Amiri, Gholamreza Ghodrati

doi:10.1016/j.seps.2014.05.002

Cited by 26 publications

(15 citation statements)

References 22 publications

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“…The The fuzzy weights are defuzzified by any defuzzification method. In this paper, we applied the following CoA method [42]:…”

Section: Research Methodology and Resultsmentioning

confidence: 99%

Application of Fuzzy Analytical Hierarchy Process based on Geometric Mean Method to Prioritize Social Capital Network Indicators

Huynh¹,

Nguyen²,

Nguyen³

et al. 2018

ijacsa

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Vietnam is striving to develop dynamically and overcome many human resource challenges. As the economy expands, the demand for jobs and human resource development has become increasingly critical. The pressures from reform and international integration are forcing many changes. New graduates must provide proof of their academic capabilities, while also actively developing their social capital to support their job search process. In fact, social capital is an essential capital for personal development as well as professional development of new graduates. This paper applies Fuzzy Analytical Hierarchy Process based on Geometric Mean Methodology to evaluate factors for measuring the social capital of graduates at Ho Chi Minh City Open University in Vietnam. The research results highlight the important role of social networks for graduates, in which a linking network is the most important, a bonding network is the second most important, and a bridging network is the third most important. In addition, the research shows that trust plays an even more important role than networks; and specific belief is more important than general belief.

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“…The The fuzzy weights are defuzzified by any defuzzification method. In this paper, we applied the following CoA method [42]:…”

Section: Research Methodology and Resultsmentioning

confidence: 99%

Application of Fuzzy Analytical Hierarchy Process based on Geometric Mean Method to Prioritize Social Capital Network Indicators

Huynh¹,

Nguyen²,

Nguyen³

et al. 2018

ijacsa

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“…The integration of fuzzy logic into geospatial information systems has also been employed in various urban planning studies [38], [39], [40], [41], 42]. In addition, fuzzy logic is able to overcome multidimensional interactions, namely physical factors, nature, environment, socio-economic factors and multistakeholders who play a role in determining the criteria and alternative decisions [43], [44]. Meanwhile, policy recommendations will be developed by using the framework concept of Drivers, Pressures, States, Impacts and Responses (DPSIR).…”

Section: Fuzzy-mcdm and Dpsir Frameworkmentioning

confidence: 99%

Model of Slum Area Management Based on Socio-Spatial Approach. The Case of Baubau City, Indonesia

ZAIN¹,

Salman²,

Baja³

2018

JSSP

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“…Boutaraa et al [12] proposed fuzzy set to define possible and less probable vulnerability classes of buildings by the trapezoidal membership functions. Vahdat et al [13] proposed fuzzy multi-criteria decision making (MCDM) with an aggregated fuzzy seismic risk index (FSRi) which has potential for mitigating the exposure of cities in Iran to access seismic risk. The result helped decision makers to screen and prioritize multiple regions in seismically prone areas.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty and Fuzzy Decisions in Earthquake Risk Evaluation of Buildings

Ketsap¹,

Hansapinyo²,

Kronprasert³

et al. 2019

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The Northern region of Thailand has been considered as one of the seismic risk zones. However, most existing buildings in the area had been designed and constructed based on old building design codes without seismic consideration. Therefore, those buildings are required to upgrade based on earthquake building damage risk evaluation. With resource limitations, it is not feasible to retrofit all buildings in a short period. In addition, the results of the risk evaluation contain uncertain inputs and outputs. The objective of this study is to prioritize building retrofit based on fuzzy earthquake risk assessment. The risk assessment of a building was made considering the risk factors including (1) building vulnerability, (2) seismic intensity and (3) building values. Then, the total risk was calculated by integrating all the risk factors with their uncertainties using a fuzzy rule based model. An example of the retrofit prioritization is shown here considering the three fuzzy factors. The ranking is hospital, temple, school, government building, factory and house, respectively. The result helps decision makers to screen and prioritize the building retrofitting in the seismically prone area.

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Fuzzy multicriteria for developing a risk management system in seismically prone areas

Cited by 26 publications

References 22 publications

Application of Fuzzy Analytical Hierarchy Process based on Geometric Mean Method to Prioritize Social Capital Network Indicators

Application of Fuzzy Analytical Hierarchy Process based on Geometric Mean Method to Prioritize Social Capital Network Indicators

Model of Slum Area Management Based on Socio-Spatial Approach. The Case of Baubau City, Indonesia

Uncertainty and Fuzzy Decisions in Earthquake Risk Evaluation of Buildings

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