topsis-anureetkaur-102203210 1.0.0

A Python package for TOPSIS multi-criteria decision-making.

TOPSIS Implementation in Python

This repository contains a Python implementation of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), a multi-criteria decision-making (MCDM) method. TOPSIS is used to rank and evaluate alternatives based on multiple criteria, considering both their closeness to an ideal solution and their distance from a nadir (worst-case) solution.

Features

• Accepts input data from a CSV file for analysis.
• Normalizes numerical data using vector normalization.
• Applies user-defined weights and impacts (+ for benefit criteria, - for cost criteria) to compute the weighted normalized decision matrix.
• Calculates ideal and anti-ideal solutions and their respective distances for each alternative.
• Computes the TOPSIS score and assigns ranks to alternatives.
• Outputs results including TOPSIS scores and ranks in a CSV file.

Installation

Clone the repository and install the required Python libraries:

pip install pandas numpy scipy