The Fuzzy Logic Paradigm of Risk Analysis

2003 ◽  
Author(s):  
Istvan Bogardi ◽  
Lucien Duckstein
Keyword(s):  
Fuzzy Logic ◽  
Risk Analysis

Artificial intelligence treating the problem of uncertainty in quantitative risk analysis (QRA)

2019 ◽  
Vol 18 (1) ◽  
pp. 40-54
Author(s):  
Mohamed Seddik Hellas ◽  
Rachid Chaib ◽  
Ion Verzea
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Risk Analysis ◽  
Lung Damage ◽  
Whole Body ◽  
Individual Risk ◽  
Content Type ◽  
Quantitative Risk Analysis ◽  
Accident Scenario ◽  
Imperfect Knowledge

Purpose Nowadays, artificial intelligence computational methods, such as knowledge-based systems, neural networks, genetic algorithms and fuzzy logic, have been increasingly applied to several industrial research studies, the purpose of this paper is to study the contribution of fuzzy and possibilistic techniques to quantitative risk analysis (QRA) in the presence of imperfect knowledge about the occurrence and consequences of accidental phenomena. Design/methodology/approach To solve the problem of uncertainties related to the elements of the accident scenario such as the frequency and severity of the consequences, the authors used fuzzy logic. Using this type of analysis, it is possible to visualize the contours of the dead or fuzzy injury by fireball thermal effect (first- and second-degree burn, death) and lesions caused by vapor cloud explosion overpressure (lung damage, eardrum rupture, head impact, whole-body displacement). The frequency and severity of fuzzy results are calculated by extended multiplication using the alpha-cuts method. Findings This research project aims to reflect the real situation in the in Amenas industrial area (SONATRACH company), specifically the liquefied petroleum gas storage tank On-Spec 05-V-411A, to deal with this type of risk. Using this analysis allows us to estimate the fuzzy individual risk using the approach of fuzzy logic to treating this uncertainty in the parameter information of accident scenarios. This index individuel risk (IR) was evaluated against the criterion of acceptability and then used for decision-making in the field of industrial risk analysis and evaluation. Originality/value The originality of the work is to identify the weak points of the classical QRA to solve the problem of the uncertainties related to the elements of the accident scenario such as the frequency and severity of the consequences to visualize the fuzzy risk contours. On the one hand and the development of software to calculate the probability of death by the overpressure effect and classify the most sensitive organs on the other hand. Given the importance of this study, it can be generalized for similar sites in the region.

Applications of Fuzzy Logic

2017 ◽  
Author(s):  
Radim Bělohlávek ◽  
Joseph W. Dauben ◽  
George J. Klir
Keyword(s):  
Decision Making ◽  
Pattern Recognition ◽  
Fuzzy Logic ◽  
Image Analysis ◽  
Quantum Mechanics ◽  
Risk Analysis ◽  
Current Status ◽  
Application Domain ◽  
Business Decision ◽  
And Mathematics

The high visibility of fuzzy logic and mathematics based on fuzzy logic is primarily due to their highly successful applications in many areas of human affairs. The aim of this chapter is to characterize the evolution and current status of these applications. Covered are applications in the various areas of engineering, natural, social and earth sciences, psychology, medicine, management and business, decision making, pattern recognition, image analysis, risk analysis, music, among others. In each of these areas, the significance of using fuzzy logic and the associated mathematics is critically assessed. It is argued that in some application areas, such as psychology or quantum mechanics, a cooperation between researchers in fuzzy logic and those in the application domain, leading possibly to new types of nonstandard fuzzy sets, is essential for further progress.

Atmospheric metal pollutants and environmental injustice: A methodological approach to environmental risk analysis using fuzzy logic and tree bark

2016 ◽  
Vol 71 ◽  
pp. 428-437 ◽  
Author(s):  
Bruno Martins Gurgatz ◽  
Regiani Carvalho-Oliveira ◽  
Daniel Canavese de Oliveira ◽  
Emerson Joucoski ◽  
Gisele Antoniaconi ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Risk Analysis ◽  
Environmental Risk ◽  
Methodological Approach ◽  
Tree Bark ◽  
Environmental Injustice ◽  
Metal Pollutants ◽  
Environmental Risk Analysis

Affinity Diagram as a Risk Analysis Tool with Support of Fuzzy Logic

2013 ◽  
Vol 19 (8) ◽  
pp. 2391-2394
Author(s):  
E. Povolotskaya ◽  
P. Mach
Keyword(s):  
Fuzzy Logic ◽  
Risk Analysis ◽  
Analysis Tool

scholarly journals The FMEA-Risk Analysis of Oil and Gas Process Facilities with Hazard Assessment Based on Fuzzy Logic

2015 ◽  
Vol 9 (5) ◽  
Author(s):  
Eduard Arkadievich Petrovskiy ◽  
Fedor Anatoliievich Buryukin ◽  
Vladimir Viktorovich Bukhtiyarov ◽  
Irina Vasilievna Savich ◽  
Mariya Vladimirovna Gagina
Keyword(s):  
Fuzzy Logic ◽  
Risk Analysis ◽  
Hazard Assessment ◽  
Oil And Gas

Ship Manoeuvring in Restricted Areas: An Attempt to Quantify Dangerous Situations Using a Probabilistic-Fuzzy Method

2006 ◽  
Vol 59 (2) ◽  
pp. 251-262 ◽  
Author(s):  
Lucjan Gucma ◽  
Zbigniew Pietrzykowski
Keyword(s):  
Fuzzy Logic ◽  
Risk Analysis ◽  
Simulation Method ◽  
Practical Application ◽  
Probabilistic Risk Analysis ◽  
Fuzzy Method ◽  
Ship Manoeuvring ◽  
Dangerous Situation ◽  
Probabilistic Risk

This paper presents a practical application of the probabilistic-fuzzy method for assessment of the safety of a ship manoeuvring in waterways. The method, based on probabilistic risk analysis and elements of fuzzy logic, takes into account situations of threatened navigational safety and situations when a navigator intuitively thinks that the safety of manoeuvring ship is threatened. The probability of grounding a ship manoeuvring in a waterway bend is determined by means of simulation method. Then, with the use of experts' knowledge and tools of fuzzy logic the probability of a dangerous situation is determined. Two different approaches are applied for the determination of that probability. The results are compared.

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