topsis-Sarabjeet-102203770 1.1.0

A Python package implementing TOPSIS method for Multi-Criteria Decision Making (MCDM)

TOPSIS Python Package

A Python package that implements the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. This package helps in solving Multi-Criteria Decision Making (MCDM) problems by ranking alternatives based on multiple criteria.

Installation

pip install topsis-Sarabjeet-102203770

Usage

The package can be used both as a command-line tool and as a Python module.

Command Line Usage

python -m topsis <InputDataFile> <Weights> <Impacts> <ResultFileName>

Example:

python -m topsis data.xlsx "1,1,1,1,1" "+,-,+,-,+" result.csv

Input File Format

• Excel file with .xlsx extension
• First column: Fund/Alternative names
• 2+ columns: Numerical values for criteria
• Example:

  Fund Name | Return | Risk | Expense | ...
  Fund A    | 10     | 20   | 30     | ...
  Fund B    | 15     | 25   | 35     | ...
  

Parameters

• Weights: Comma-separated values of weights (e.g., "1,1,1,1,1")
• Impacts: Comma-separated +/- signs for maximizing/minimizing criteria (e.g., "+,-,+,-,+")
• ResultFileName: Output CSV file name

Output

The program will create a CSV file containing the input data along with:

• Topsis Score
• Rank

Sample Python Usage

from topsis import topsis

topsis("input.xlsx", [1,1,1,1,1], ['+','-','+','-','+'], "output.csv")

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

Sarabjeet Singh ([e-mail])