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TOPSIS is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score i
pip install topsis-paryagdeep-101903573
PyPI declares 2 unique dependency rules for this release. Environment markers are shown when supplied by the project.
Topsis-Paryagdeep-101903573 publishes 1 wheel and 1 source archive for version 0.0.3. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 13 releases with files. The first dated release is ; 13 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .