topsis-ANANYA-102216114 1.0.3

A Python package for performing TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) to rank the entries in a dataset.

Topsis PyPi Package (CLI)

Submitted By: Ananya Gaur 102216114

A Python package that can be used as a CLI tool for implementing Topsis method used for multi-criteria decision analysis by calculating performance and ranks. Topsis stands for 'Technique for Order of Preference by Similarity to Ideal Solution'.
Checkout the package 👉: https://pypi.org/project/topsis-ANANYA-102216114/

CLI scripts takes csv/excel files as input!

Installation of the package

$ pip install topsis-ANANYA-102216114

Command Line Usage

$ topsis-ANANYA-102216114 input_filePath weights impacts output_filePath

Arguments

Arguments	Description
input_file	Input CSV file path
weights	Comma separated string of numbers(weights)
impacts	Comma separated string of '+' or '-'
output_file	Output CSV file path

Output

Creates a csv output_file, that contains the original data alongwith additional cloumns of Topsis Performance score and rank.

Example:

$topsis-ANANYA-102216114 data.csv "1,0.25,1,1" "+,-,+,-,+" output.csv 

Sample dataset

1. Structure of the Decision Matrix

• The file must contain three or more columns.
• The first column contains the names or identifiers of the Model/Product alternatives (e.g., M1, M2, etc.).
• The remaining columns (from the second column onwards) contain Numeric or Nominal values representing the criteria for evaluation.

Example Decision Matrix:

Model	Cost	Quality	Durability	Ease of use
M1	250	8.5	7.0	9.0
M2	300	7.8	8.5	8.0
M3	200	9.0	6.5	7.5
M4	290	8.2	7.8	8.8
M5	350	9.5	8.2	7.9

License

Licensed under the MIT License.