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