Topsis-Balbir-Singh-102217078 1.0

A Python package for multi-criteria decision making using the TOPSIS method.

Topsis-Balbir-102217078

Topsis-Balbir-102217078 is a Python package that implements the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method for multi-criteria decision making. This tool is ideal for evaluating and ranking alternatives based on multiple criteria, which is essential in fields like supply chain management, finance, and engineering.

Installation

You can install Topsis-Balbir-102217078 directly from the Python Package Index using pip:

pip install Topsis-Balbir-102217078

Usage

To use Topsis-Balbir-102217078, you will need to prepare your data in a CSV format where the first column contains the names/labels of the alternatives, and the subsequent columns contain the criteria values. The command line interface can be used as follows:

topsis data.csv "1,2,3" "+,-,+" results.csv

Where:

• data.csv is your input file.
• "1,2,3" is a comma-separated string of weights for each criterion.
• "+,-,+" is a comma-separated string of impacts for each criterion, where + indicates that higher is better, and - that lower is better.
• results.csv will be the output file with the TOPSIS scores and rankings.

Features

• Easy integration with Pandas DataFrames.
• Customizable weights and criteria impacts.
• Automatic normalization and ranking of alternatives.
• Command line interface for easy access and usage.