Topsis-Gazal-102217174 0.4

A Python implementation of the TOPSIS method.

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Topsis Implementation and Python Package

This repository contains the implementation of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). It includes two components:

1. Command-Line Python Program
2. Python Package Published on PyPI

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1. Command-Line Python Program

This program calculates the TOPSIS scores and ranks for a given dataset.

How It Works:

• Input File:
  The input file is a CSV file with three or more columns:

  • The first column contains the names of the objects/variables (e.g., M1, M2, M3, etc.).
  • The remaining columns contain numeric data.

• Output File:
  The output file includes all columns from the input file with two additional columns:

  • Topsis Score
  • Rank

Features:

• Handles exceptions for:
  • Incorrect input format.
  • Missing files.
  • Non-numeric values.
• Ensures weights and impacts are correctly formatted.
• Validates the consistency of input dimensions (number of weights, impacts, and columns).

Usage:

Run the program through the command line:

python <program.py> <InputDataFile> <Weights> <Impacts> <ResultFileName>

Example:

python Topsis-Gazal-102217174.py data.csv "1,1,1,2" "+,+,-,+" result.csv

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2. Python Package on PyPI

https://pypi.org/project/Topsis-Gazal-102217174/

User Guide:

• Install the package using pip:

  pip install Topsis-Gazal-102217174
  

• Run the TOPSIS calculation from the command line:

  Topsis-Gazal-102217174 <InputDataFile> <Weights> <Impacts> <ResultFileName>
  

  Example:

  Topsis-Gazal-102217174 data.csv "1,1,1,2" "+,+,-,+" result.csv
  

Testing:

The package was thoroughly tested by installing it from PyPI and running multiple test cases.

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Resources and References

• Learn TOPSIS
• How to Publish Python Packages to PyPI

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