TOPSIS Implementation

This package provides a Python implementation of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method for multi-criteria decision analysis.

Features

• Ease of Use: Simple and clear implementation of the TOPSIS algorithm.
• Weighted Decision Making: Allows users to define weights for each criterion.
• Impact Analysis: Accounts for both positive and negative impacts of criteria.
• Command-Line Interface: Execute TOPSIS directly from the terminal with input and output files.

Installation

To install the package, use:

pip install TOPSIS_Prerit_102217030

Usage

Run the TOPSIS analysis using the command-line interface:

topsis

Example Suppose you have a CSV file data.csv containing a decision matrix where:

The first column is the identifier for alternatives. The subsequent columns contain numeric data for each criterion.

If you want to apply TOPSIS with weights [1, 1, 1, 2] and impacts [+, +, -, +], use: python topsis data.csv "1,1,1,2" "+,+,-,+" result.csv

This will generate a result file result.csv with the calculated TOPSIS scores and rankings.