Examples

Illustrative example

• PySensMCDA - Illustrative examples
  • Table of contents:
  • 1.1. Discrete modification
  • 1.2. Percentage modification
  • 1.3. Range modification
  • 1.4. Alternative removal
  • 1.5. General
  • 2.1. Random distribution - weights generation
  • 2.2. Percentage modification
  • 2.3. Range modification
  • 2.4. Weights scenarios generation
  • 2.5. Criteria removal
  • 2.6. Criteria identification
  • 3.1. Monte carlo
  • 3.2. Perturbated matrix
  • 3.3. Perturbated weights
  • 4.1. Ranking alternation
  • 4.2. Demotion
  • 4.3. Promotion
  • 4.4. Fuzzy ranking
  • 5.1. General
  • 5.2. HQ compromise additional informations
  • 5.3. ICRA

Graphs examples

• PySensMCDA - Visualizations
  • Table of contents: