Topsis-Yuvika-102203800 0.2

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Topsis_Yuvika_102203800

This is a Python package for implementing the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). It is a popular multi-criteria decision-making method used to rank alternatives based on their relative closeness to the ideal solution.

Installation

You can install the package using pip:

pip install Topsis_Yuvika_102203800

Usage

Input File Format

The input CSV file must follow this structure:

• The first column contains the names of the alternatives (e.g., products, models, or options).
• Subsequent columns contain the numerical values of the criteria for each alternative.
• The first row should provide headers for all columns. -There must be at least three columns
• All criteria values should be numerical.
• The number of weights and impacts should match the number of criteria columns.
• Impacts must only include + (beneficial) or - (non-beneficial).

Command-line Usage

After installation, you can use the topsis command in the terminal:

topsis <input_file> <weights> <impacts> <output_file>

• <input_file>: Path to the input CSV file.
• <weights>: Comma-separated string of weights for the criteria.
• <impacts>: Comma-separated string of '+' or '-' indicating the desirability of the criteria.
• <output_file>: Path to the output CSV file to save the results.

Example

topsis data.csv "0.5,0.3,0.2" "+,-,+" results.csv

This command will process the data.csv file using the specified weights and impacts and output the results to results.csv.

License

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