A Python package to choose the best alternative from a finite set of decision alternatives.
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" "+,+,-,+"
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size topsis-anurag-101703088-1.0.5.tar.gz (3.2 kB)||File type Source||Python version None||Upload date||Hashes View|
Hashes for topsis-anurag-101703088-1.0.5.tar.gz