topsis-ineshkumar-102203363 1.0.4

A Python package to perform TOPSIS (Technique for Order Preference by Similarity to Ideal Solution)

topsis_ineshkumar_102203363

topsis_ineshkumar_102203363 is a Python package that implements the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for multi-criteria decision analysis.

Installation

You can install the package using pip:

pip install topsis_ineshkumar_102203363

Usage

Input File Format

The input CSV file should have the following structure:

• The first column should contain the names of the models.
• The subsequent columns should contain the criteria values for each alternative.
• The first row should contain the headers for each column.

Example:

model	Criteria 1	Criteria 2	Criteria 3
m1	260	16	18
m2	208	13	10
m3	310	15	11

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 "0.4,0.3,0.23" "+,-,+" results.csv

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

NOTE

• Ensure that the input file has at least three columns: one for alternatives and at least two for criteria.
• All criteria columns should contain numeric values.
• The number of weights and impacts must match the number of criteria.
• Impacts should only be '+' or '-'.

License

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