TOPSIS-Python
Submitted By: Ishaan 101903137
What is TOPSIS
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method. TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution. More details at wikipedia.
How to use this package:
Topsis-Ishaan-101903137 can be run as in the following example:
In Command Prompt
>> topsis data.csv "1,1,1,1" "+,+,-,+" output_file.csv
In Python IDLE:
>>> import pandas as pd
>>> from topsis_py.topsis import topsis
>>> dataset = pd.read_csv('data.csv').values
>>> d = dataset[:,1:]
>>> w = [1,1,1,1]
>>> im = ["+" , "+" , "-" , "+" ]
>>> topsis(d,w,im,"output_file.csv")
The rankings are displayed in the form of a table using a package 'tabulate', with the 1st rank offering us the best decision, and last rank offering the worst decision making, according to TOPSIS method.
Release files for Topsis-Ishaan-101903137 1.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| Topsis-Ishaan-101903137-1.1.3.tar.gz | 4.2 kB | Details |
Release files / Topsis-Ishaan-101903137-1.1.3.tar.gz
| Download URL | Topsis-Ishaan-101903137-1.1.3.tar.gz |
|---|---|
| Size | 4.2 kB |
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