topsis-vardhan-102203268 1.0.0

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

topsis_vardhan_102203268

topsis_vardhan_102203268 is a Python package that implements the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for multi-criteria decision analysis.

Table of Contents

• Installation
• Usage
  • Input File Format
  • Command-line Usage
• TOPSIS Method Explained
• Example
• Troubleshooting
• License

Installation

You can install the package using pip:

pip install topsis_vardhan_102203268

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	250	16	12
m2	200	14	8
m3	300	18	15

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.

TOPSIS Method Explained

TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is a multi-criteria decision-making method. The basic concept is to find the alternative that is closest to the ideal solution and farthest from the nadir solution. The ideal solution maximizes the benefit criteria and minimizes the cost criteria, while the nadir solution does the opposite.

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.

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.