SlideShare ist ein Scribd-Unternehmen logo
1 von 10
Downloaden Sie, um offline zu lesen
 
Damascus University 
Faculty of Information Technology Engineering 
Artificial Intelligent Department 
Knowledge-Base Systems 
04 - 22 - 2019 
Knowledge-Based System Homework
 
 
The assignment is to build a risk assessment expert system for new customers 
in a bank, company … 
 
Let's assume that a new customer wants to open a new account in Adnan 
Hussein bank, the Bank requests the following information from the customer: 
 
Personal information  national number, first name, father name, last 
name, mobile, address, country, city, nationality, 
gender, birth date, marital status 
Customer information  customer type ( individual, joint, minor, VIP 
non-profit entity), branch, business nature, source 
of income, average yearly income, deposit 
threshold, withdrawal threshold, Beneficiary is 
Account Owner ( yes , no ) 
table -1 
the risk of the customer will calculate cumulatively based on the following 
factors: 
● Nationality 
● Transactions 
● Business nature 
● Inquiry by CML 
● Beneficiary is not Account Owner 
1 
 
Each risk factor: 
● measured according to the following: 
○ Reputation 
○ Financial or Legal  
○ Operational 
● Controlled according to the following: 
○ Adherence 
○ Controls Systems 
○ Procedures 
 
Before we talk about the factors, let's talk a little bit with numbers.. 
 
Mapping for risk: 
 
Risk Impact  High  Med  Low 
Risk Impact Value  80  50  30 
Risk Factor  Reputation  Financial/Legal  Operational 
Risk Factor Weight  100  80  60 
table -2 
 
Value of Inherent Risk: 
 
Value of Inherent Risk =  
(∑Risk Impact Value * Risk Factor Weight) / (∑ Risk Factor Weight) 
equation -1 
 
Example: 
Let's assume that one factor has the following subfactor: 
● Reputation: High 
● Financial or Legal: Med 
● Operational: Low 
2 
 
What is the Value of inherent risk ? 
 
From the table -2, the risk impact values of the subfactors are: 
● Reputation: 80 
● Financial or Legal: 50 
● Operational: 30 
And the risk weights of the subfactors are: 
● Reputation: 100 
● Financial or Legal: 80 
● Operational: 60 
From the equation -1 : 
Value of Inherent risk = ( 80*100 + 50*80 + 30*60 ) / ( 100 + 80 + 60 ) = 57.5 
 
Controls: 
Control Evaluation  Strong  Adequate  Poor 
Control Evaluation Value  80  50  30 
Control Factors  Adherence  Controls Systems  Procedures 
Control Factor Weight  100  80  60 
table -3 
 
Value of Control Risk: 
 
Value of Control Risk =  
(∑Control Evaluation Value * Control Factor Weight) / (∑ Control Factor Weight) 
equation -2 
 
3 
 
Example: 
Let's assume that one factor has the following subfactor: 
● Adherence: Strong 
● Controls Systems: Adequate 
● Procedures: Strong 
What is the Value of Control Risk ? 
 
From the table -3, the Control Evaluation Values of the subfactors are: 
● Adherence: 80 
● Controls Systems: 50 
● Procedures: 80 
And the Control Factor Weights of the subfactors are: 
● Adherence: 100 
● Controls Systems: 80 
● Procedures: 60 
From the equation -2 : 
Value of Control Risk = ( 80*100 + 50*80 + 80*60 ) / ( 100 + 80 + 60 ) = 70 
 
Residual Risk: 
 
Residual Risk Value = ( inherent Risk Value + ( 2 * (100 - control value))) / 3 
equation -3 
 
Example: 
Let's assume that one factor has the following: 
● Value of Inherent risk = 57.5 
● Value of Control Risk = 70 
What is the ​Residual Risk Value​ ? 
4 
 
Residual risk value = ( 57.5 + ( 2 * (100 - 70 ))) / 3 = 39.1 
 
Residual risk scale 
23-35  Low 
36-55  Medium 
56-73  High 
table -4 
 
The class of the previous risk factor is ​Medium​. 
 
 
Now we know how to classify each risk factor! so let's talk about them.. 
 
classify risk factors: 
Nationality: 
 
If​ the customer nationality from the following nationalities: 
‫اﻓﻐﺎﻧﺴﺘﺎن‬
AFGHANISTAN 
‫اﻟﺠﺰاﺋﺮ‬ ALGERIA 
‫اﻷرﺟﻨﺘﻴﻦ‬ ARGENTINA 
‫اﻟﺒﺤﺮﻳﻦ‬ BAHRAIN 
‫اﻟﺒﺮازﻳﻞ‬ BRAZIL 
‫اﻟﺼﻴﻦ‬ CHINA 
‫ﻛﻮﻟﻮﻣﺒﻴﺎ‬ COLOMBIA 
‫ﻛﻮﺑﺎ‬ CUBA 
5 
 
‫ﺟﻴﺒﻮﺗﻲ‬ DJIBOUTI 
‫ﻣﺼﺮ‬ EGYPT 
‫اﻟﻮﺳﻄﻰ‬ ‫ﻏﻴﻨﻴﺎ‬ EQUATORIAL GUINEA 
‫ﻃﺎرق‬ ‫ﺟﺒﻞ‬ GIBRALTAR 
‫اﻟﻴﻮﻧﺎن‬ GREECE 
‫اﻟﻬﻨﺪ‬ INDIA 
‫اﻧﺪوﻧﻴﺴﻴﺎ‬ INDONESIA 
‫اﻹﺳﻼﻣﻴﺔ‬ ‫إﻳﺮان‬ ‫ﺟﻤﻬﻮرﻳﺔ‬ IRAN (ISLAMIC REPUBLIC) 
‫اﻟﻌﺮاق‬ IRAQ 
‫ﻟﺒﻨﺎن‬ LEBANON 
‫اﻟﺪﻳﻤﻘﺮاﻃﻴﺔ‬ ‫ﻛﻮرﻳﺎ‬ ‫ﺟﻤﻬﻮرﻳﺔ‬
‫اﻟﺸﻌﺒﻴﺔ‬
KOREA,DEMOCRATIC PEOPLE'S REPUBLIC 
‫اﻟﻜﻮﻳﺖ‬ KUWAIT 
table -5 
Then the subfactors are: 
● The Values of inherent risk: 
a. Reputation: High 
b. Financial or Legal: High 
c. Operational: Med 
● The Values of Control Risk: 
a. Adherence: Strong 
b. Controls Systems: Strong 
c. Procedures: Strong 
Else​ the risk class of nationality is Low. 
 
 
6 
 
 
Business nature: 
If​ the customer business nature from the following business natures: 
● Lawyers 
● Accountants 
● Brokers who work for the benefit of the client 
Then the subfactors are: 
● The Values of inherent risk: 
a. Reputation: Med 
b. Financial or Legal: Med 
c. Operational: Med 
● The Values of Control Risk: 
a. Adherence: Strong 
b. Controls Systems: Strong 
c. Procedures: Adequate 
Else If​ the customer business nature from the following business natures: 
● Trading of real estate 
● Trading of Jewelry 
● Trading of cars 
Then the subfactors are: 
● The Values of inherent risk: 
a. Reputation: Med 
b. Financial or Legal: High 
c. Operational: Med 
● The Values of Control Risk: 
a. Adherence: Strong 
b. Controls Systems: Strong 
c. Procedures: Strong 
Else​ the risk class of nationality is Low. 
7 
 
 
Transactions: 
if ​the customer makes a transaction greater than the threshold then the 
subfactors are: 
● The Values of inherent risk: 
a. Reputation: Med 
b. Financial or Legal: High 
c. Operational: High 
● The Values of Control Risk: 
a. Adherence: Strong 
b. Controls Systems: Strong 
c. Procedures: Strong 
Else​ the risk class of transactions is Low. 
 
 
Inquiry by CML: 
If​ the customer inquiry by CML ​then​ he is High risk. 
 
 
Beneficiary is not Account Owner: 
If​ the Beneficiary is not Account Owner ​then​ he is High risk. 
 
 
 
 
 
 
8 
 
The Final risk Matrix: 
 
after calculating each risk factor of the customer, we get the final risk class from 
table -6. 
Business Nature  Nationalites  Transactions  Level 
High  High  High  High 
High  Med  Med  Med 
High  Low  Low  Low 
Med  High  High  High 
Med  Med  Med  Med 
Med  Low  Low  Low 
Low  High  High  Med 
Low  Med  Med  Low 
Low  Low  Low  Low 
Med  High  Med  Med 
Low  High  Low  Low 
High  Med  High  High 
Low  Med  Low  Low 
High  Low  High  Med 
Med  Low  Med  Low 
Med  Med  High  Med 
Low  Low  High  Low 
High  High  Med  High 
Low  Low  Med  Low 
High  High  Low  Med 
Med  Med  Low  Low 
9 
 
High  Med  Low  Med 
High  Low  Med  Med 
Low  High  Med  Med 
Low  Med  High  Med 
Med  High  Low  Med 
Med  Low  High  Med 
table -6 
 
Do you think that the representation of the final risk by a matrix is 
correct? please suggest another method, if any! 
 
 
 
 
 
Practical Section Teacher: Ahmad Hussein 
Email: ahmadhussein.ah7@gmail.com 
10 

Weitere ähnliche Inhalte

Ähnlich wie Knowledge-Base Systems Homework - 2019

Credit Risk Management Presentation
Credit Risk Management PresentationCredit Risk Management Presentation
Credit Risk Management PresentationSumant Palwankar
 
Risk Management Insight FAIR(FACTOR ANA.docx
Risk Management Insight       FAIR(FACTOR ANA.docxRisk Management Insight       FAIR(FACTOR ANA.docx
Risk Management Insight FAIR(FACTOR ANA.docxmadlynplamondon
 
Practical approach to security risk management
Practical approach to security risk managementPractical approach to security risk management
Practical approach to security risk managementG3 intelligence Ltd
 
1 Cinemark Holdings Inc. Simulated ERM Program .docx
1  Cinemark Holdings Inc. Simulated ERM Program  .docx1  Cinemark Holdings Inc. Simulated ERM Program  .docx
1 Cinemark Holdings Inc. Simulated ERM Program .docxoswald1horne84988
 
Bribery risk assessment slide for education
Bribery risk assessment slide for educationBribery risk assessment slide for education
Bribery risk assessment slide for educationinfoqtc
 
IIA Facilitated Risk Workshop
IIA Facilitated Risk Workshop IIA Facilitated Risk Workshop
IIA Facilitated Risk Workshop Ersoy AKSOY
 
TransactionBasedAnalytics2010
TransactionBasedAnalytics2010TransactionBasedAnalytics2010
TransactionBasedAnalytics2010Vijay Desai
 
Introduction to Risk Management Fundamentals
Introduction to Risk Management FundamentalsIntroduction to Risk Management Fundamentals
Introduction to Risk Management FundamentalsToño Herrera
 
Risk Management Insight FAIR(FACTOR AN.docx
Risk Management Insight        FAIR(FACTOR AN.docxRisk Management Insight        FAIR(FACTOR AN.docx
Risk Management Insight FAIR(FACTOR AN.docxpoulterbarbara
 
Risk Management Insight FAIR(FACTOR ANA
           Risk Management Insight       FAIR(FACTOR ANA           Risk Management Insight       FAIR(FACTOR ANA
Risk Management Insight FAIR(FACTOR ANAtroutmanboris
 
Risk Management Insight FAIR(FACTOR AN.docx
Risk Management Insight        FAIR(FACTOR AN.docxRisk Management Insight        FAIR(FACTOR AN.docx
Risk Management Insight FAIR(FACTOR AN.docxadkinspaige22
 
Risk Management Insight FAIR(FACTOR AN.docx
           Risk Management Insight        FAIR(FACTOR AN.docx           Risk Management Insight        FAIR(FACTOR AN.docx
Risk Management Insight FAIR(FACTOR AN.docxboadverna
 
Operational Risk Management
Operational Risk ManagementOperational Risk Management
Operational Risk ManagementAsad Hameed
 
Qrm presentation
Qrm presentationQrm presentation
Qrm presentationGeetha Svcp
 
CM Introduction 081414
CM Introduction 081414CM Introduction 081414
CM Introduction 081414aidanc5
 
Risk Management in Banking Sectors.
Risk Management in Banking Sectors.Risk Management in Banking Sectors.
Risk Management in Banking Sectors.Rupesh neupane
 
Customer Life Cycle and Risk into one Department
Customer Life Cycle and Risk into one DepartmentCustomer Life Cycle and Risk into one Department
Customer Life Cycle and Risk into one DepartmentJavier Méndez, MBA
 

Ähnlich wie Knowledge-Base Systems Homework - 2019 (20)

Credit Risk Management Presentation
Credit Risk Management PresentationCredit Risk Management Presentation
Credit Risk Management Presentation
 
Risk Management Insight FAIR(FACTOR ANA.docx
Risk Management Insight       FAIR(FACTOR ANA.docxRisk Management Insight       FAIR(FACTOR ANA.docx
Risk Management Insight FAIR(FACTOR ANA.docx
 
Practical approach to security risk management
Practical approach to security risk managementPractical approach to security risk management
Practical approach to security risk management
 
1 Cinemark Holdings Inc. Simulated ERM Program .docx
1  Cinemark Holdings Inc. Simulated ERM Program  .docx1  Cinemark Holdings Inc. Simulated ERM Program  .docx
1 Cinemark Holdings Inc. Simulated ERM Program .docx
 
Bribery risk assessment slide for education
Bribery risk assessment slide for educationBribery risk assessment slide for education
Bribery risk assessment slide for education
 
IIA Facilitated Risk Workshop
IIA Facilitated Risk Workshop IIA Facilitated Risk Workshop
IIA Facilitated Risk Workshop
 
TransactionBasedAnalytics2010
TransactionBasedAnalytics2010TransactionBasedAnalytics2010
TransactionBasedAnalytics2010
 
Introduction to Risk Management Fundamentals
Introduction to Risk Management FundamentalsIntroduction to Risk Management Fundamentals
Introduction to Risk Management Fundamentals
 
Beyond Compliance
Beyond ComplianceBeyond Compliance
Beyond Compliance
 
5. risk rating
5. risk rating5. risk rating
5. risk rating
 
Risk Management Insight FAIR(FACTOR AN.docx
Risk Management Insight        FAIR(FACTOR AN.docxRisk Management Insight        FAIR(FACTOR AN.docx
Risk Management Insight FAIR(FACTOR AN.docx
 
Risk Management Insight FAIR(FACTOR ANA
           Risk Management Insight       FAIR(FACTOR ANA           Risk Management Insight       FAIR(FACTOR ANA
Risk Management Insight FAIR(FACTOR ANA
 
Risk Management Insight FAIR(FACTOR AN.docx
Risk Management Insight        FAIR(FACTOR AN.docxRisk Management Insight        FAIR(FACTOR AN.docx
Risk Management Insight FAIR(FACTOR AN.docx
 
Risk Management Insight FAIR(FACTOR AN.docx
           Risk Management Insight        FAIR(FACTOR AN.docx           Risk Management Insight        FAIR(FACTOR AN.docx
Risk Management Insight FAIR(FACTOR AN.docx
 
Operational Risk Management
Operational Risk ManagementOperational Risk Management
Operational Risk Management
 
Qrm presentation
Qrm presentationQrm presentation
Qrm presentation
 
CM Introduction 081414
CM Introduction 081414CM Introduction 081414
CM Introduction 081414
 
Risk Assessment1.ppt
Risk Assessment1.pptRisk Assessment1.ppt
Risk Assessment1.ppt
 
Risk Management in Banking Sectors.
Risk Management in Banking Sectors.Risk Management in Banking Sectors.
Risk Management in Banking Sectors.
 
Customer Life Cycle and Risk into one Department
Customer Life Cycle and Risk into one DepartmentCustomer Life Cycle and Risk into one Department
Customer Life Cycle and Risk into one Department
 

Mehr von Ahmad Hussein

Knowledge Representation Methods
Knowledge Representation MethodsKnowledge Representation Methods
Knowledge Representation MethodsAhmad Hussein
 
Knowledge based systems homework
Knowledge based systems homeworkKnowledge based systems homework
Knowledge based systems homeworkAhmad Hussein
 
Expert system with python -2
Expert system with python  -2Expert system with python  -2
Expert system with python -2Ahmad Hussein
 
Expert System With Python -1
Expert System With Python -1Expert System With Python -1
Expert System With Python -1Ahmad Hussein
 
Python introduction 2
Python introduction 2Python introduction 2
Python introduction 2Ahmad Hussein
 
Python introduction 1
Python introduction 1  Python introduction 1
Python introduction 1 Ahmad Hussein
 

Mehr von Ahmad Hussein (7)

Knowledge Representation Methods
Knowledge Representation MethodsKnowledge Representation Methods
Knowledge Representation Methods
 
Design Patterns
Design PatternsDesign Patterns
Design Patterns
 
Knowledge based systems homework
Knowledge based systems homeworkKnowledge based systems homework
Knowledge based systems homework
 
Expert system with python -2
Expert system with python  -2Expert system with python  -2
Expert system with python -2
 
Expert System With Python -1
Expert System With Python -1Expert System With Python -1
Expert System With Python -1
 
Python introduction 2
Python introduction 2Python introduction 2
Python introduction 2
 
Python introduction 1
Python introduction 1  Python introduction 1
Python introduction 1
 

Kürzlich hochgeladen

Call Girls Jalahalli Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...
Call Girls Jalahalli Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...Call Girls Jalahalli Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...
Call Girls Jalahalli Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...amitlee9823
 
Capstone Project on IBM Data Analytics Program
Capstone Project on IBM Data Analytics ProgramCapstone Project on IBM Data Analytics Program
Capstone Project on IBM Data Analytics ProgramMoniSankarHazra
 
Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service B...Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service B...amitlee9823
 
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteedamy56318795
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxolyaivanovalion
 
CebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxCebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxolyaivanovalion
 
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Delhi Call girls
 
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...amitlee9823
 
Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxolyaivanovalion
 
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% SecureCall me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% SecurePooja Nehwal
 
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAl Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAroojKhan71
 
Cheap Rate Call girls Sarita Vihar Delhi 9205541914 shot 1500 night
Cheap Rate Call girls Sarita Vihar Delhi 9205541914 shot 1500 nightCheap Rate Call girls Sarita Vihar Delhi 9205541914 shot 1500 night
Cheap Rate Call girls Sarita Vihar Delhi 9205541914 shot 1500 nightDelhi Call girls
 
Call Girls In Attibele ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Attibele ☎ 7737669865 🥵 Book Your One night StandCall Girls In Attibele ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Attibele ☎ 7737669865 🥵 Book Your One night Standamitlee9823
 
Call Girls In Doddaballapur Road ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Doddaballapur Road ☎ 7737669865 🥵 Book Your One night StandCall Girls In Doddaballapur Road ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Doddaballapur Road ☎ 7737669865 🥵 Book Your One night Standamitlee9823
 
Escorts Service Kumaraswamy Layout ☎ 7737669865☎ Book Your One night Stand (B...
Escorts Service Kumaraswamy Layout ☎ 7737669865☎ Book Your One night Stand (B...Escorts Service Kumaraswamy Layout ☎ 7737669865☎ Book Your One night Stand (B...
Escorts Service Kumaraswamy Layout ☎ 7737669865☎ Book Your One night Stand (B...amitlee9823
 
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...SUHANI PANDEY
 

Kürzlich hochgeladen (20)

Predicting Loan Approval: A Data Science Project
Predicting Loan Approval: A Data Science ProjectPredicting Loan Approval: A Data Science Project
Predicting Loan Approval: A Data Science Project
 
Call Girls Jalahalli Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...
Call Girls Jalahalli Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...Call Girls Jalahalli Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...
Call Girls Jalahalli Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...
 
Capstone Project on IBM Data Analytics Program
Capstone Project on IBM Data Analytics ProgramCapstone Project on IBM Data Analytics Program
Capstone Project on IBM Data Analytics Program
 
Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service B...Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
 
Anomaly detection and data imputation within time series
Anomaly detection and data imputation within time seriesAnomaly detection and data imputation within time series
Anomaly detection and data imputation within time series
 
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptx
 
CebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxCebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptx
 
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
 
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
 
Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptx
 
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get CytotecAbortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
 
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% SecureCall me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
 
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAl Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
 
Cheap Rate Call girls Sarita Vihar Delhi 9205541914 shot 1500 night
Cheap Rate Call girls Sarita Vihar Delhi 9205541914 shot 1500 nightCheap Rate Call girls Sarita Vihar Delhi 9205541914 shot 1500 night
Cheap Rate Call girls Sarita Vihar Delhi 9205541914 shot 1500 night
 
(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7
(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7
(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7
 
Call Girls In Attibele ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Attibele ☎ 7737669865 🥵 Book Your One night StandCall Girls In Attibele ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Attibele ☎ 7737669865 🥵 Book Your One night Stand
 
Call Girls In Doddaballapur Road ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Doddaballapur Road ☎ 7737669865 🥵 Book Your One night StandCall Girls In Doddaballapur Road ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Doddaballapur Road ☎ 7737669865 🥵 Book Your One night Stand
 
Escorts Service Kumaraswamy Layout ☎ 7737669865☎ Book Your One night Stand (B...
Escorts Service Kumaraswamy Layout ☎ 7737669865☎ Book Your One night Stand (B...Escorts Service Kumaraswamy Layout ☎ 7737669865☎ Book Your One night Stand (B...
Escorts Service Kumaraswamy Layout ☎ 7737669865☎ Book Your One night Stand (B...
 
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
 

Knowledge-Base Systems Homework - 2019

  • 1.   Damascus University  Faculty of Information Technology Engineering  Artificial Intelligent Department  Knowledge-Base Systems  04 - 22 - 2019  Knowledge-Based System Homework     The assignment is to build a risk assessment expert system for new customers  in a bank, company …    Let's assume that a new customer wants to open a new account in Adnan  Hussein bank, the Bank requests the following information from the customer:    Personal information  national number, first name, father name, last  name, mobile, address, country, city, nationality,  gender, birth date, marital status  Customer information  customer type ( individual, joint, minor, VIP  non-profit entity), branch, business nature, source  of income, average yearly income, deposit  threshold, withdrawal threshold, Beneficiary is  Account Owner ( yes , no )  table -1  the risk of the customer will calculate cumulatively based on the following  factors:  ● Nationality  ● Transactions  ● Business nature  ● Inquiry by CML  ● Beneficiary is not Account Owner  1 
  • 2.   Each risk factor:  ● measured according to the following:  ○ Reputation  ○ Financial or Legal   ○ Operational  ● Controlled according to the following:  ○ Adherence  ○ Controls Systems  ○ Procedures    Before we talk about the factors, let's talk a little bit with numbers..    Mapping for risk:    Risk Impact  High  Med  Low  Risk Impact Value  80  50  30  Risk Factor  Reputation  Financial/Legal  Operational  Risk Factor Weight  100  80  60  table -2    Value of Inherent Risk:    Value of Inherent Risk =   (∑Risk Impact Value * Risk Factor Weight) / (∑ Risk Factor Weight)  equation -1    Example:  Let's assume that one factor has the following subfactor:  ● Reputation: High  ● Financial or Legal: Med  ● Operational: Low  2 
  • 3.   What is the Value of inherent risk ?    From the table -2, the risk impact values of the subfactors are:  ● Reputation: 80  ● Financial or Legal: 50  ● Operational: 30  And the risk weights of the subfactors are:  ● Reputation: 100  ● Financial or Legal: 80  ● Operational: 60  From the equation -1 :  Value of Inherent risk = ( 80*100 + 50*80 + 30*60 ) / ( 100 + 80 + 60 ) = 57.5    Controls:  Control Evaluation  Strong  Adequate  Poor  Control Evaluation Value  80  50  30  Control Factors  Adherence  Controls Systems  Procedures  Control Factor Weight  100  80  60  table -3    Value of Control Risk:    Value of Control Risk =   (∑Control Evaluation Value * Control Factor Weight) / (∑ Control Factor Weight)  equation -2    3 
  • 4.   Example:  Let's assume that one factor has the following subfactor:  ● Adherence: Strong  ● Controls Systems: Adequate  ● Procedures: Strong  What is the Value of Control Risk ?    From the table -3, the Control Evaluation Values of the subfactors are:  ● Adherence: 80  ● Controls Systems: 50  ● Procedures: 80  And the Control Factor Weights of the subfactors are:  ● Adherence: 100  ● Controls Systems: 80  ● Procedures: 60  From the equation -2 :  Value of Control Risk = ( 80*100 + 50*80 + 80*60 ) / ( 100 + 80 + 60 ) = 70    Residual Risk:    Residual Risk Value = ( inherent Risk Value + ( 2 * (100 - control value))) / 3  equation -3    Example:  Let's assume that one factor has the following:  ● Value of Inherent risk = 57.5  ● Value of Control Risk = 70  What is the ​Residual Risk Value​ ?  4 
  • 5.   Residual risk value = ( 57.5 + ( 2 * (100 - 70 ))) / 3 = 39.1    Residual risk scale  23-35  Low  36-55  Medium  56-73  High  table -4    The class of the previous risk factor is ​Medium​.      Now we know how to classify each risk factor! so let's talk about them..    classify risk factors:  Nationality:    If​ the customer nationality from the following nationalities:  ‫اﻓﻐﺎﻧﺴﺘﺎن‬ AFGHANISTAN  ‫اﻟﺠﺰاﺋﺮ‬ ALGERIA  ‫اﻷرﺟﻨﺘﻴﻦ‬ ARGENTINA  ‫اﻟﺒﺤﺮﻳﻦ‬ BAHRAIN  ‫اﻟﺒﺮازﻳﻞ‬ BRAZIL  ‫اﻟﺼﻴﻦ‬ CHINA  ‫ﻛﻮﻟﻮﻣﺒﻴﺎ‬ COLOMBIA  ‫ﻛﻮﺑﺎ‬ CUBA  5 
  • 6.   ‫ﺟﻴﺒﻮﺗﻲ‬ DJIBOUTI  ‫ﻣﺼﺮ‬ EGYPT  ‫اﻟﻮﺳﻄﻰ‬ ‫ﻏﻴﻨﻴﺎ‬ EQUATORIAL GUINEA  ‫ﻃﺎرق‬ ‫ﺟﺒﻞ‬ GIBRALTAR  ‫اﻟﻴﻮﻧﺎن‬ GREECE  ‫اﻟﻬﻨﺪ‬ INDIA  ‫اﻧﺪوﻧﻴﺴﻴﺎ‬ INDONESIA  ‫اﻹﺳﻼﻣﻴﺔ‬ ‫إﻳﺮان‬ ‫ﺟﻤﻬﻮرﻳﺔ‬ IRAN (ISLAMIC REPUBLIC)  ‫اﻟﻌﺮاق‬ IRAQ  ‫ﻟﺒﻨﺎن‬ LEBANON  ‫اﻟﺪﻳﻤﻘﺮاﻃﻴﺔ‬ ‫ﻛﻮرﻳﺎ‬ ‫ﺟﻤﻬﻮرﻳﺔ‬ ‫اﻟﺸﻌﺒﻴﺔ‬ KOREA,DEMOCRATIC PEOPLE'S REPUBLIC  ‫اﻟﻜﻮﻳﺖ‬ KUWAIT  table -5  Then the subfactors are:  ● The Values of inherent risk:  a. Reputation: High  b. Financial or Legal: High  c. Operational: Med  ● The Values of Control Risk:  a. Adherence: Strong  b. Controls Systems: Strong  c. Procedures: Strong  Else​ the risk class of nationality is Low.      6 
  • 7.     Business nature:  If​ the customer business nature from the following business natures:  ● Lawyers  ● Accountants  ● Brokers who work for the benefit of the client  Then the subfactors are:  ● The Values of inherent risk:  a. Reputation: Med  b. Financial or Legal: Med  c. Operational: Med  ● The Values of Control Risk:  a. Adherence: Strong  b. Controls Systems: Strong  c. Procedures: Adequate  Else If​ the customer business nature from the following business natures:  ● Trading of real estate  ● Trading of Jewelry  ● Trading of cars  Then the subfactors are:  ● The Values of inherent risk:  a. Reputation: Med  b. Financial or Legal: High  c. Operational: Med  ● The Values of Control Risk:  a. Adherence: Strong  b. Controls Systems: Strong  c. Procedures: Strong  Else​ the risk class of nationality is Low.  7 
  • 8.     Transactions:  if ​the customer makes a transaction greater than the threshold then the  subfactors are:  ● The Values of inherent risk:  a. Reputation: Med  b. Financial or Legal: High  c. Operational: High  ● The Values of Control Risk:  a. Adherence: Strong  b. Controls Systems: Strong  c. Procedures: Strong  Else​ the risk class of transactions is Low.      Inquiry by CML:  If​ the customer inquiry by CML ​then​ he is High risk.      Beneficiary is not Account Owner:  If​ the Beneficiary is not Account Owner ​then​ he is High risk.              8 
  • 9.   The Final risk Matrix:    after calculating each risk factor of the customer, we get the final risk class from  table -6.  Business Nature  Nationalites  Transactions  Level  High  High  High  High  High  Med  Med  Med  High  Low  Low  Low  Med  High  High  High  Med  Med  Med  Med  Med  Low  Low  Low  Low  High  High  Med  Low  Med  Med  Low  Low  Low  Low  Low  Med  High  Med  Med  Low  High  Low  Low  High  Med  High  High  Low  Med  Low  Low  High  Low  High  Med  Med  Low  Med  Low  Med  Med  High  Med  Low  Low  High  Low  High  High  Med  High  Low  Low  Med  Low  High  High  Low  Med  Med  Med  Low  Low  9 
  • 10.   High  Med  Low  Med  High  Low  Med  Med  Low  High  Med  Med  Low  Med  High  Med  Med  High  Low  Med  Med  Low  High  Med  table -6    Do you think that the representation of the final risk by a matrix is  correct? please suggest another method, if any!            Practical Section Teacher: Ahmad Hussein  Email: ahmadhussein.ah7@gmail.com  10