eMBA - Multi Criteria Decision Analytics (MCDA)

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MCDA

• slides (see chapter 27 in the book)t
  • slides from part V of the book
  • R-code from the slides
• table of contents in the slides:
  • MCDA - 208
  • issues at hand - 219
  • decision matrix - 223
  • dominance - 229
  • MCDA methods - 239
    • WSM - 243
    • (Electre) - 251
    • (Promethee) - 266
    • PCA - 279

MCDA Overview of workflow

• Step 1: Explore the Big Picture
• Step 2: Identify the Problem at Hand
• Step 3: Get Data, Construct and Normalise the Decision Matrix
• Step 4: Leave Out Unacceptable and Inefficient Alternatives
• Step 5: Use a Multi-Criteria Decision Method to Get a Ranking
• Step 6: Recommend a Solution

Case study MCDA: the company purchase

• the task briefing
• the data

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• Solution in R
  • the Rmd file
  • the output in PDF
• Solution in ODS (spreasheet)
  • the ODS file

Project idea: incorporate this in your final MBA project?

Course materials

• Building Powerful Models (chapter 27 - slide 208): slides + R-code from the slides

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Back to

• course summary
• www.de-brouwer.com