topsis-AyushSharma-3840 0.0.1

A Python package implementing the TOPSIS method

Topsis-Ayush-102203840

A Python package for implementing the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, used for multi-criteria decision analysis.

Installation

pip install Topsis-Ayush-102203840 

Usage

The package can be used through command line:

topsis <InputDataFile> <Weights> <Impacts> <ResultFileName>

Example

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

Input Format

• Input File:
  • The file can be in CSV or Excel format (.csv or .xlsx).
  • The first column should contain the names of the objects/variables.
  • The remaining columns must contain numeric values only (criteria values).

Parameters

1. : The input file name along with its path (e.g., data.csv or data.xlsx).
2. : A comma-separated string of numeric weight values for each criterion (e.g., "1,1,1,1").
3. : A comma-separated string of + or - symbols, indicating whether the criterion is beneficial (+) or non-beneficial (-) (e.g., "+,+,-,+").
4. : The desired output file name including its path (e.g., output.csv).

Output

The output file (CSV format) will include:

All input data columns Additional columns: TOPSIS Score: The calculated score for each alternative. Rank: The rank of each alternative based on the TOPSIS score (higher score = better rank).

License

MIT License

Author

Ayush Sharma Roll Number: 102203840

If you have any questions or suggestions, feel free to reach out!