About
This page contains computer files and source code (Excel, DPL, YAAHP, Python scripts, Jupyter notebooks, etc) that are covered in the lectures.
Chapter 4: Basic Decision Analysis
Python Code and Jupyter Notebooks
- 4.2.9 Party Problem: Fitting an equation to Kim's utility function
- 4.7 Party Problem: Stochastic Dominance Analysis
Excel Files
- 4.8.1 Kim's Party Problem with Treeplan (Complete analysis with Base model, Sensitivity Analysis, Value of Perfect and Imperfect Information Analysis)
- 4.8.2 Kim Party Problem with Precision Tree (Base Model, Risk Profiles, Sensitivity Analysis)
Chapters 5: Influence Diagrams
DPL Models
Chapter 6: Advanced Decision Analysis - Risk Preferences
Python Code and Jupyter Notebooks
- 6.1.3 Compute Buying and Selling Prices using root_scalar function
- 6.3.3 Compute Risk Tolerance using 50-50 CE method with root_sclar function
- 6.5.1 Compute NPV of multi-period cash flows using numpy_financial functions
Excel Files
- 6.1.3 Compute Buying and Selling Price using Excel Goal Seek
- 6.3.3 Finding Risk Tolerance using 50-50 CE method with Excel Goal Seek
- 6.5.1 NPV of cash flows
DPL Models
- 6.5.2 Utility of NPV in DPL version 1 (Using arrays of cash flows and NPV function in DPL)
- 6.5.2 Utility of NPV in DPL version 2 (Using local discounted get/pay cashflows along tree branches)
Chapter 7: Probability Distribution Assessment
Python Code and Jupyter Notebooks
Chapter 8: Solving Complex Problems - The DA Process/Cycle
Python Code and Jupyter Notebooks
- 8.2.2 Exxoff Problem - Stochastic Dominance Analysis
- 8.4.2 LIM Problem - Stochastic Dominance Analysis
DPL Models
Chapter 9: MCDM I - Analytic Hierrchy Process
Python Code and Jupyter Notebooks
- 9.2.6 Compute AHP matrix using Linear Algerba method
- 9.2.6 Compute AHP matrix using np.linalg.eig_function
- 9.2.7 Compute AHP matrix using Column Normalization (approximation) method
- 9.2.8 Compute AHP matrix using Power Iterations (numerical) method
Excel Workbooks
- 9.2.6 Compute AHP Matrix using Linear Algebra method
- 9.2.7 Compute AHP Matrix using RGM (approximation) method
- 9.2.7 Compute AHP Matrix using Columns Normalization (approximation) method
YAAHP Models
Chapter 10: MCDM II - Multiple Attribute Decision Analysis
DPL Models
- 10.1.3 MAUT Example 1 - Adveristing Campaign Decision (DPL)
- 10.1.3 MAUT Example 2 - Lisa's Holiday Problem (DPL)