Project Description
TOPSIS PACKAGE Mitul Agarwal - 102217053
Roll Number: 102217053
Subgroup: 3Q23
The program takes a CSV file containing our data to be ranked, weights and impacts in the form of "+" or "-", separated by commas as inputs and then outputs a resultant CSV file with two additional columns of performance score and ranks.
What is TOPSIS
TOPSIS, Technique of Order Preference Similarity to the Ideal Solution, is a multi-criteria decision analysis method (MCDA).
It chooses the alternative of the shortest Euclidean distance from the ideal solution and the greatest distance from the negative ideal solution.
Installation
How to install the TOPSIS package
Using pip install:
pip install 102217053-topsis
The output will then be saved in a newly created CSV file whose name will be provided in the command line by the user.
## Input File [input.csv]:
Topsis mathematical operations to be performed on the input file which contains a dataset having different fields.
## Weights ["1,1,1"]:
The weights assigned to the different parameters in the dataset should be passed in the argument, separated by commas.
## Impacts ["+,+,-"]:
The impacts are passed to consider which parameters have a positive impact on the decision and which ones have a negative impact. Only `+` and `-` values should be passed and should be separated with `,` only.
## Output File [output.csv]:
This argument is used to pass the path of the result file where we want the rank and performance score to be stored.
Metadata
Release files for 102217053-topsis 1.0.4
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| 102217053_topsis-1.0.4.tar.gz | 3.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 102217053_topsis-1.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.0 kB
Release files / 102217053_topsis-1.0.4.tar.gz
| Download URL | 102217053_topsis-1.0.4.tar.gz |
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| Size | 3.7 kB |
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Release files / 102217053_topsis-1.0.4-py3-none-any.whl
| Download URL | 102217053_topsis-1.0.4-py3-none-any.whl |
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| Size | 4.3 kB |
| Tags | Python 3 |
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Security for 102217053-topsis 1.0.4
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