Topsis-Pooja-102303845 1.0.1

TOPSIS implementation using Python

TOPSIS – Python Package

By: Pooja
Roll Number: 102303845
Course: UCS654 – Predictive Analytics using Statistics

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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 solution and an ideal worst solution.

This Python package provides an easy-to-use command-line implementation of the TOPSIS algorithm. Users can input a dataset along with weights and impacts and obtain ranked results based on TOPSIS scores.

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Installation

Install the package using pip:

pip install Topsis-Pooja-102303845

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Usage

Run the following command:

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

Example:

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

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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

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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

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Output

The output file contains:

• Topsis Score
• Rank

The alternative with Rank 1 is considered the best choice.

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Conclusion

This package simplifies the application of the TOPSIS method and enables efficient decision-making using multiple criteria through a simple command-line interface.