Topsis-Karan-102317145 1.0.1

A command-line implementation of the TOPSIS method.

Topsis-Karan-102317145

This is a simple command-line implementation of the TOPSIS method in Python.

TOPSIS stands for Technique for Order Preference by Similarity to Ideal Solution.
It is a multi-criteria decision-making method used to rank alternatives based on multiple criteria.

Installation Guide

Install from PyPI using:

pip install Topsis-Karan-102317145

After installation, you can use the topsis command directly in your terminal.

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Command Line Usage

After installation, run:

topsis <InputDataFile> <Weights> <Impacts> <OutputFile>

Example:

topsis data.csv "1,1,1,1" "+,+,-,+" output.csv

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Parameter Explaination

• InputDataFile: CSV file containing alternatives and criteria
• Weights: Comma-separated numeric weights (e.g., "1,1,1,1")
• Impacts: Comma-separated '+' or '-' signs
• OutputFile: Name of the result CSV file

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What This Tool Does

1. Cleans the dataset
2. Handles numeric and ordinal data
3. Drops invalid or text-only columns
4. Normalizes the data
5. Applies weights
6. Calculates ideal best and worst
7. Computes TOPSIS score
8. Ranks alternatives
9. Saves result in output CSV

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Input File Format

Your CSV file must:

• Have at least 3 columns
• First column = Name / Identifier
• Remaining columns = Criteria
• Criteria must be numeric or ordinal

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Output

The output file will have 2 additional columns than the input file:

1. The Topsis Score
2. The Topsis Rank

Higher score means better rank.

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Requirements

This package requires:

• Python >= 3.8
• pandas
• numpy

These dependencies are automatically installed during pip installation.

Important Notes

• Number of weights must match number of criteria.
• Number of impacts must match number of criteria.
• Impacts must be only + or -.
• Missing values are automatically handled.
• Text-only columns are ignored.

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Author

Karan Nigam Roll No: 102317145

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License

This project is licensed under the MIT License.

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Thank you for using this package!!