PyMCDA
v0.7.0
Contents
Notebooks
Basic example: choose a car
Low level plotting utilities
Multi Attribute Value Theory
Outranking algorithms
Performance Tables
Preference structures
Sets and set functions
Scale Values
API
Contributing
References
Links
PyPI
Gitlab
Issue Tracker
PyMCDA
»
Notebooks
Edit on GitLab
Notebooks
Basic example: choose a car
Problem formalization
Decision process
Low level plotting utilities
Import data
Plotting performance tables
Multi Attribute Value Theory
MAVT problem formalization
Aggregators
Disaggregators
Outranking algorithms
Electre algorithms
Promethee algorithms
SRMP
Performance Tables
Defining MCDA problem
Computations on performance tables
Preference structures
Relations
Relations comparisons
Preference structure
Outranking matrices
Ranking
Sort relations
Sets and set functions
Hashable Set
Set functions
Reference
Scale Values
Read the Docs
v: v0.7.0
Versions
latest
stable
v0.7.0
v0.6.1
v0.6.0
v0.5.1
v0.5.0
v0.4.1
v0.4.0
v0.3.6
v0.3.5
v0.3.4
v0.3.3
v0.3.2
v0.3.1
v0.3.0
v0.2.1
v0.2.0
v0.1.0
Downloads
On Read the Docs
Project Home
Builds