Topsis-bhavya-102303560 1.0.2

TOPSIS implementation using Python

TOPSIS - Python Package

By: Bhavya
Roll Number: 102303560
Course: UCS654 - Predictive Analytics using Statistics

Project Description

TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a multi-criteria decision-making (MCDM) method used to rank alternatives based on their distance from an ideal best and an ideal worst solution.

This Python package provides an easy-to-use command-line implementation of the TOPSIS algorithm. It allows users to input a dataset along with weights and impacts and produces a ranked output based on TOPSIS scores.

Installation

Install the package using pip:

pip install Topsis-bhavya-102303560

Usage

Run the following command:

topsis <inputFile> <weights> <impacts> <outputFile>

Example:

topsis sample.csv "1,1,1,1" "+,+,-,+" result.csv

Input File Format

• The input file must contain at least three columns.
• The first column should contain alternative names.
• All other columns must contain numeric values only.
• The number of weights and impacts must match the number of criteria.

Sample Input File

Model	Storage	Camera	Price	Looks
M1	16	12	250	5
M2	16	8	200	3
M3	32	16	300	4
M4	32	8	275	4
M5	16	16	225	2

Output

The output file contains:

• Topsis Score
• Rank

The alternative with Rank 1 is considered the best choice.