Topsis-aditya-102217092 0.5

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

Topsis Python Package

Developed by: Aditya Pandey - 102217092

Overview

The Topsis (Technique for Order of Preference by Similarity to Ideal Solution) method is a popular multi-criteria decision-making technique. It helps to evaluate and select the best alternative from a set of options based on their proximity to the ideal solution. This Python package implements the Topsis method, making it easy to apply the technique on datasets with multiple criteria.

Features

• Computes Topsis scores based on input data, weights, and impacts.
• Ranks alternatives according to the Topsis methodology.
• Supports data input through Excel files.
• Provides an easy-to-use command-line interface for seamless integration.

Installation

To install the Topsis Python package, use pip with the following command:

pip install 102217092-Aditya-topsis

Usage

Command-Line Input

To use the Topsis package from the command line, run the following command:

python <program.py> <InputDataFile> <Weights> <Impacts> <ResultFileName>

• Input File Type: The input file must be an Excel file.
• Data Format: The second to last columns of the data file MUST contain numeric values.
• Impacts: Impacts should be either '+' (positive) or '-' (negative).
• Weights and Impacts: Weights and impacts should be enclosed in double quotes and separated by commas.
• Output: The output will include a 'Topsis Score' column and a 'Rank' column added to the data. The results will be saved to a CSV file specified in the command-line arguments.

Example

Command-Line Input Example

python 102217092.py data.csv "1,1,1,1,1" "+,+,-,+,-" 102217092-result.csv