Strat HW 04 Decision Analysis homework

pptx

School

University of Texas, Arlington *

*We aren’t endorsed by this school

Course

4322

Subject

Computer Science

Date

Dec 6, 2023

Type

pptx

Pages

9

Uploaded by SargentIce4016

Report
Decision Analysis: LADM Practice Models Dr. Jeffrey Wallman The University of Texas - Arlington
Homework • Construct a valid linear additive decision model for – Personal decision – Professional decision Make sure you answer each of the five questions for developing a valid linear additive decision model.
Procedure • List the pros and cons of the decision • Assign weights to each attribute pro and con – 100 points for all attributes • Total the weights on each side pro and con • Evaluate the model based on the five questions – SAILS
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
  • Access to all documents
  • Unlimited textbook solutions
  • 24/7 expert homework help
Steps in Creating a Linear Additive Decision Model List the pros and cons Question: Did I list the main pros and cons? Assign weights Question: Did I assign all 100 points? Add weights Question: Does it all add to 100 Compare pros and cons Question: Which side wins? Evaluate Question: Is the model valid?
SAILS: A Linear Additive Decision Model Testing for S atisfaction Question: Is the decision maker satisfied with decision suggested by the model? Testing for A ttributes Question: Can you decide without any attribute? Testing for I ndependence Question: Is there any double counting? (If so, combine) Testing for L inearity Question: Is more better for a pro? (Is less better for a con?) Testing for S cale Question: Do all attribute scores add to 100 (scale invariance)? Necessary Conditions: The Five Questions For a Valid Linear Additive Decision Model
Pros Cons Become healthier 30 Better looking 10 Increase confidence 20 Limiting food that I like 25 Stress of working out 15 Total 60 Total 40 Personal decision: Should I need to lose weight? Conclusion: Appearance do not determine everything about the person. I'm overweight now. Being overweight is more likely to cause diseases such as high blood pressure, diabetes, and hyperlipidemia. I think living healthy for a long time is more important than making a lot of money. In that sense, losing weight is important to me now.
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
  • Access to all documents
  • Unlimited textbook solutions
  • 24/7 expert homework help
SAILS: A Linear Additive Decision Model Testing for S atisfaction Question: Is the decision maker satisfied with decision suggested by the model? I am satisfied with the decision Testing for A ttributes Question: Can you decide without any attribute? All the pros and cons are the considerable question to ask. Testing for I ndependence Question: Is there any double counting? (If so, combine) I think no Testing for L inearity Question: Is more better for a pro? (Is less better for a con?) No Testing for S cale Question: Do all attribute scores add to 100 (scale invariance)? Yes Necessary Conditions: The Five Questions For a Valid Linear Additive Decision Model
Pros Cons More chance of being hired 15 Better financial stability in the future 20 Lack of real experience 15 Tuition 20 Enthusiasm of studying 30 Total 35 Total 65 Professional decision: Should I need to go grad school? Conclusion: In Korea, where personal connections and academic background are important, it is advantageous to have a higher academic background to have better work. But I chose not to go to graduate school. There is the economic issue, but above all, continuing this education without a passion for studying will only make me overwhelmed. I rather want to get a job and gain experience even if it is not a high position after graduation.
SAILS: A Linear Additive Decision Model Testing for S atisfaction Question: Is the decision maker satisfied with decision suggested by the model? I am not satisfied with the decision Testing for A ttributes Question: Can you decide without any attribute? All the pros and cons are the considerable question to ask. Testing for I ndependence Question: Is there any double counting? (If so, combine) No Testing for L inearity Question: Is more better for a pro? (Is less better for a con?) No Testing for S cale Question: Do all attribute scores add to 100 (scale invariance)? Yes Necessary Conditions: The Five Questions For a Valid Linear Additive Decision Model
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
  • Access to all documents
  • Unlimited textbook solutions
  • 24/7 expert homework help

Related Documents

ISM6225-Assignment-1.pdf
F23_Lab08_CurveFitting.pdf
CS171-Lab1.pdf
CPSC Assignment 3.docx
Test_ Exam2 bcis 466 _ Quizlet.pdf
Week 2 Reading Quiz.pdf
OTCL 520 Exam 2.docx
Discussion over Week 7 Problems_SU21.pdf
HW 3.docx
infograph script first draft.docx
PBDMS HW3 (2).docx
CS3410_Assignment3.docx
Recommended textbooks for you
Text book image
Operations Research : Applications and Algorithms
Computer Science
ISBN:9780534380588
Author:Wayne L. Winston
Publisher:Brooks Cole
Text book image
Principles of Information Systems (MindTap Course...
Computer Science
ISBN:9781305971776
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning
Text book image
Fundamentals of Information Systems
Computer Science
ISBN:9781337097536
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning
Text book image
MIS
Computer Science
ISBN:9781337681919
Author:BIDGOLI
Publisher:Cengage
Text book image
Fundamentals of Information Systems
Computer Science
ISBN:9781305082168
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning
Text book image
Np Ms Office 365/Excel 2016 I Ntermed
Computer Science
ISBN:9781337508841
Author:Carey
Publisher:Cengage
SEE MORE TEXTBOOKS
Recommended textbooks for you
Text book image
Operations Research : Applications and Algorithms
Computer Science
ISBN:9780534380588
Author:Wayne L. Winston
Publisher:Brooks Cole
Text book image
Principles of Information Systems (MindTap Course...
Computer Science
ISBN:9781305971776
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning
Text book image
Fundamentals of Information Systems
Computer Science
ISBN:9781337097536
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning
Text book image
MIS
Computer Science
ISBN:9781337681919
Author:BIDGOLI
Publisher:Cengage
Text book image
Fundamentals of Information Systems
Computer Science
ISBN:9781305082168
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning
Text book image
Np Ms Office 365/Excel 2016 I Ntermed
Computer Science
ISBN:9781337508841
Author:Carey
Publisher:Cengage
SEE MORE TEXTBOOKS