#TOPSIS Package
TOPSIS stands for Technique for Oder Preference by Similarity to Ideal Solution. It 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 in each criterion. An assumption of TOPSIS is that the criteria are monotonically increasing or decreasing. In this Python package Vector Normalization has been implemented.
This package has been created based on Project 1 of course UCS633. Anurag Aggarwal COE-4 101703088
#In Command Prompt
topsis data.csv "1,1,1,1" "+,+,-,+"
1 maintainer
Release files for topsis-Anurag 1.0.0
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Source distribution (sdist)
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| topsis-Anurag-1.0.0.tar.gz | 3.1 kB | Details |
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|---|---|---|---|---|
| topsis_Anurag-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.8 kB
Release files / topsis-Anurag-1.0.0.tar.gz
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| Size | 3.1 kB |
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Release files / topsis_Anurag-1.0.0-py3-none-any.whl
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| Size | 2.8 kB |
| Tags | Python 3 |
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