Fuzzy influence system for muti-hazard physical risk assessment in urban areas

Tibaduiza, Martha Liliana Carreño; Lantada, Nieves; Jaramillo, Nayive

doi:10.23967/j.rimni.2017.7.001

Cited by 2 publications

(2 citation statements)

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“…In developing countries, such as those in Latin America, including Mexico, there is a lack of territorial and urban planning involving disaster risk management. Measuring risk means taking into account not only the expected physical damage, the victims or equivalent economic losses but also social, organizational and institutional factors (Carreño, 2006;Carreño et al, 2007a;2007b;2012;2014a;2014b;2017;2018;Jaramillo et al 2016). Martínez (2009) indicates the necessity to use different methodological procedures to carry out a disaster risk evaluation.…”

Section: Key Concepts and Methodologiesmentioning

confidence: 99%

Methodologies and tools of risk management: Hurricane risk index (HRi)

Hernández

Tibaduiza

Castillo

2018

International Journal of Disaster Risk Reduction

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Mexico is recognized worldwide for the extension of its coastlines and its tourist exploitation. Quintana Roo is one of the Mexican states, which has a shoreline of approximately 800 km, known as the Mexican Caribbean. The hurricanes that form in the Atlantic Ocean are the main natural hazard to which this region is exposed. In this article, hurricane risk is evaluated for coastal cities through the definition of a system of indicators. Based on this indicators system, the Hurricane Risk Index is calculated. This system allows the construction of vulnerability indices for different dimensions: physical, environmental, social, economic, cultural and institutional. The obtained results can contribute to the definition of public prevention policies and actions to reduce the levels of vulnerability and increase the resilience of these communities. This indicators model is applied to two coastal cities of the Mexican Caribbean; Mahahual, obtaining an of 82.13%, and Chetumal obtaining an of 69.31%, corresponding to the impact of Hurricane Dean in 2007. The proposed indicators system can be replicated for different hazards.

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Section: Key Concepts and Methodologiesmentioning

confidence: 99%

Methodologies and tools of risk management: Hurricane risk index (HRi)

Hernández

Tibaduiza

Castillo

2018

International Journal of Disaster Risk Reduction

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“…For example, Elsayed applied the FIS approach in the risk assessment of liquefied natural gas carriers during loading/unloading at the terminals [41]. Carreño et al proposed an approach to assess physical risks using a fuzzy inference system called an MuHRA in an urban area [42]. Kim et al provided a model that hybridizes the AHP and FIS approaches to risk assessment of overseas steel mill projects and to mitigate these risks [43].…”

Section: Literature Reviewmentioning

confidence: 99%

Creating proactive behavior for the risk assessment by considering expert evaluation: a case of textile manufacturing plant

Karaşan

Erdoğan

2021

Complex Intell. Syst.

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Applying risk assessment approaches to improve quality in enterprises is of great importance especially for sectors that are labor-intensive and thus frequently encountered failures. One of the methods frequently used to take precautions against failures caused by high variability in this type of sector is failure mode and effects analysis (FMEA). In this study, a hybrid FMEA approach is proposed so as to take measures against failures in the textile sector where there are high-quality differences due to its structure and failures frequently occurred. Since the different combinations of risk parameters’ scores may produce the same risk degree based on the function of the FMEA’s basis, misleading results for the risk analysis in the practical risk management can be occurred. Moreover, the risk priority number (RPN) function has a limitation in the weight determining process, since it assigns the equal weight for each risk parameter in the classical FMEA. To overcome these shortcomings in the RPN calculation for the risks in the FMEA approach, a multi-criteria decision-making (MCDM) approach is applied under the framework of fuzzy logic. Through that, in this study, we aimed to prove an expert system based on the rules that specifically focusing on the risk sources of the woven fabric industry. To create such a rule-based system, inputs are generated using fuzzy AHP and modified fuzzy TOPSIS. A case study is carried out with the method proposed in a textile mill, and it is determined which risks arising from failures are higher. For the validation of the results, a comparative analysis is conducted. Moreover, for the robustness of the decisions, one-at-a-time sensitivity analysis with respect to different scenarios are applied. As a result of the analyses, it is shown that our proposed model can be used as an efficient proactive risk calculator for the managers or researchers to make useful inferences, judgments, and decisions of the production processes for eliminating the shortcomings of the traditional FMEA.

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Fuzzy influence system for muti-hazard physical risk assessment in urban areas

Cited by 2 publications

References 0 publications

Methodologies and tools of risk management: Hurricane risk index (HRi)

Methodologies and tools of risk management: Hurricane risk index (HRi)

Creating proactive behavior for the risk assessment by considering expert evaluation: a case of textile manufacturing plant

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