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Case study for heuristic model analysis using fuzzy logic to solve uncertainty in risk management / Walid Abdallah Elsayed Mousa ; Supervised Tarek Mohamed Ibrahim Abdelhamid , Mohamed Taha Elsayed Ahmed Abdelkader , Yasser Mahmoud Elshayeb

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Walid Abdallah Elsayed Mousa , 2020Description: 102 P. : charts , facsimiles ; 30cmOther title:
  • دراسة وتق{u٠٦أأ}{u٠٦أأ}م مشروع من خلال النموذج الإستنباطى بإستخدام أحد أسال{u٠٦أأ}ب الذكاء الصناعى (المنطق الضبابى) لمعالجة مشكلة عدم دقة الب{u٠٦أأ}انات فى عمل{u٠٦أأ}ة إدارة المخاطر [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Industrial Engineering Summary: 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 Model{u2019}s results are more accurate than traditional QRA tools
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.09.M.Sc.2020.Wa.C (Browse shelf(Opens below)) Not for loan 01010110083292000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.09.M.Sc.2020.Wa.C (Browse shelf(Opens below)) 83292.CD Not for loan 01020110083292000

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 Model{u2019}s results are more accurate than traditional QRA tools

Issued also as CD

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