Case study for heuristic model analysis using fuzzy logic to solve uncertainty in risk management /
Walid Abdallah Elsayed Mousa
Case study for heuristic model analysis using fuzzy logic to solve uncertainty in risk management / دراسة وتقم مشروع من خلال النموذج الإستنباطى بإستخدام أحد أسالب الذكاء الصناعى (المنطق الضبابى) لمعالجة مشكلة عدم دقة البانات فى عملة إدارة المخاطر Walid Abdallah Elsayed Mousa ; Supervised Tarek Mohamed Ibrahim Abdelhamid , Mohamed Taha Elsayed Ahmed Abdelkader , Yasser Mahmoud Elshayeb - Cairo : Walid Abdallah Elsayed Mousa , 2020 - 102 P. : charts , facsimiles ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Industrial Engineering
A heuristic model using fuzzy simulator present on MATLAB software was designed to solve part of the uncertainty fuzzy nature and was tailored to handle aspects influencing the decision-making process in Risk Management.This model has been tested using the results of a case study in published World Applied Programming Journal for a gas transport at an island in the Gulf which applied fuzzy logic technique.Test results revealed that the uncertainty generated from the Model was sensitive to o and v of the original data, a finding which was not mentioned in the published work.This test confirmed that uncertainty is sensitive to different parameters such as o and v. Overall, The developed Heuristic Models results are more accurate than traditional QRA tools
QRA Risk Management Uncertainty
Case study for heuristic model analysis using fuzzy logic to solve uncertainty in risk management / دراسة وتقم مشروع من خلال النموذج الإستنباطى بإستخدام أحد أسالب الذكاء الصناعى (المنطق الضبابى) لمعالجة مشكلة عدم دقة البانات فى عملة إدارة المخاطر Walid Abdallah Elsayed Mousa ; Supervised Tarek Mohamed Ibrahim Abdelhamid , Mohamed Taha Elsayed Ahmed Abdelkader , Yasser Mahmoud Elshayeb - Cairo : Walid Abdallah Elsayed Mousa , 2020 - 102 P. : charts , facsimiles ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Industrial Engineering
A heuristic model using fuzzy simulator present on MATLAB software was designed to solve part of the uncertainty fuzzy nature and was tailored to handle aspects influencing the decision-making process in Risk Management.This model has been tested using the results of a case study in published World Applied Programming Journal for a gas transport at an island in the Gulf which applied fuzzy logic technique.Test results revealed that the uncertainty generated from the Model was sensitive to o and v of the original data, a finding which was not mentioned in the published work.This test confirmed that uncertainty is sensitive to different parameters such as o and v. Overall, The developed Heuristic Models results are more accurate than traditional QRA tools
QRA Risk Management Uncertainty