000			02342cam a2200325 a 4500
003			EG-GiCUC
008			210418s2020 ua dh f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.13.09.M.Sc.2020.Wa.C
100	0		_aWalid Abdallah Elsayed Mousa
245	1	0	_aCase study for heuristic model analysis using fuzzy logic to solve uncertainty in risk management / _cWalid Abdallah Elsayed Mousa ; Supervised Tarek Mohamed Ibrahim Abdelhamid , Mohamed Taha Elsayed Ahmed Abdelkader , Yasser Mahmoud Elshayeb
246	1	5	_aدراسة 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
260			_aCairo : _bWalid Abdallah Elsayed Mousa , _c2020
300			_a102 P. : _bcharts , facsimiles ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Industrial Engineering
520			_aA 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
530			_aIssued also as CD
653		4	_aQRA
653		4	_aRisk Management
653		4	_aUncertainty
700	0		_aMohamed Taha Elsayed Ahmed Abdelkader , _eSupervisor
700	0		_aTarek Mohamed Ibrahim Abdelhamid , _eSupervisor
700	0		_aYasser Mahmoud Elshayeb , _eSupervisor
905			_aNazla _eRevisor
905			_aShimaa _eCataloger
942			_2ddc _cTH
999			_c80698 _d80698