Package for Multi-Criteria Decision Analysis with Objective Criteria Weighting
Project description
objective-weights-for-mcda
This is Python 3 library dedicated for multi-criteria decision analysis with criteria weights determined by objective weighting methods. The documentation is provided here
Installation
Downloading and installation of objective-weights-mcda
package can be done with using pip
pip install objective-weights-mcda
Methods
mcda_methods
includes:
vikor
with VIKOR method
Other modules include:
-
additions
includerank_preference
method for ranking alternatives according to MCDA score -
correlations
include:- Spearman rank correlation coefficient
spearman
, - Weighted Spearman rank correlation coefficient
weighted_spearman
, - Pearson correlation coefficient
pearson_coeff
- Spearman rank correlation coefficient
-
normalizations
with methods for decision matrix normalization:linear_normalization
- Linear normalization,minmax_normalization
- Minimum- Maximum normalization,max_normalization
- Maximum normalization,sum_normalization
- Sum normalization,vector_normalization
- Vector normalization
-
weighting_methods
include 11 objective weighting methods for determination of criteria weights (significance) without decision-maker involvement:equal_weighting
- Equal weighting methodentropy_weighting
- Entropy weighting methodstd_weighting
- Standard deviation weighting methodcritic_weighting
- CRITIC weighting methodgini_weighting
- Gini coefficient-based weighting methodmerec_weighting
- MEREC weighting methodstat_var_weighting
- Statistical variance weighting methodcilos_weighting
- CILOS weighting methodidocriw_weighting
- IDOCRIW weighting methodangle_weighting
- Angle weighting methodcoeff_var_weighting
- Coefficient of variation weighting method
Examples of usage of objective_weights_mcda
are provided on GitHub in examples
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for objective-weights-mcda-0.0.8.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 297675d6a8f5121aeb0b2861b0bc9f8c59237807defbc29b399c76c8f1460727 |
|
MD5 | 602608d22201d08a822fee82ed83da85 |
|
BLAKE2b-256 | 670f2cf2b3ae22f381ee85e9adda70e392a48c550907d400e9ba7e7da06c0c2e |
Hashes for objective_weights_mcda-0.0.8-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | bf19467a5e44e245233544f2724094e09ceadfab4706162fa1bce868bfa4a327 |
|
MD5 | 093da05cff09c46633ff4026fcfeda28 |
|
BLAKE2b-256 | ad79da87d39a44a78391d5c8a10fe08cd4aba7ca3ad98545797c2807efd5ba33 |