topsis-cli 1.0.1

A CLI tool for TOPSIS decision-making

TOPSIS CLI Tool

TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is a multi-criteria decision-making method that helps evaluate and rank options based on their relative closeness to an ideal solution. This CLI tool provides a simple and efficient way to perform TOPSIS analysis directly from the command line.

Features

Supports weighted and impact-based decision-making. Reads input data from a CSV file. Outputs ranked results with scores in an easy-to-read CSV format. Lightweight and user-friendly command-line interface.

Installation

Install the package using pip:

pip install topsis-cli

Usage

Run the CLI tool with the following syntax:

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

input_file: Path to the input CSV file containing decision matrix.

weights: Comma-separated list of weights for each criterion (e.g., 0.4,0.3,0.2,0.1).

impacts: Comma-separated list of impacts for each criterion, either + (positive) or - (negative) (e.g., +,+,-,+).

output_file: Path to save the output CSV file with scores and ranks.

Example

Input File (data.csv):

Name	Criterion 1	Criterion 2	Criterion 3	Criterion 4
Option A	250	16	12	5
Option B	200	18	8	3
Option C	300	14	10	4
Option D	275	15	9	2

Command:

topsis data.csv 0.4,0.3,0.2,0.1 +,+,-,+ results.csv

Output File (results.csv):

Name	Criterion 1	Criterion 2	Criterion 3	Criterion 4	Score	Rank
Option A	250	16	12	5	0.75	2
Option B	200	18	8	3	0.50	4
Option C	300	14	10	4	0.80	1
Option D	275	15	9	2	0.65	3

Requirements

Python 3.7 or higher
Libraries: numpy, pandas

License

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

Contributing

Contributions are welcome! Feel free to open issues or submit pull requests.

Author

Naman Babbar