Topsis-Soumya-102203802 1.0.1

A Python package for implementing the TOPSIS algorithm.

Topsis-Soumya-102203802

Overview

Topsis-Soumya-102203802 is a Python package that implements the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method for multi-criteria decision-making. It is designed to help users rank alternatives based on their proximity to an ideal best and worst solution.

This package is built to assist decision-makers in evaluating multiple alternatives using several criteria, offering a simple interface for performing the TOPSIS analysis with flexibility for custom weights and impacts for decision criteria.

Installation

You can install Topsis-Soumya-102203802 from PyPI using pip:

pip install Topsis-Soumya-102203802

Additionally, make sure you have the required dependencies installed:

pip install pandas numpy pyexcel

Features

• TOPSIS Ranking: Computes the rankings for alternatives based on their similarity to the ideal solution.
• Custom Weights: Supports custom weights for each decision criterion.
• Custom Impacts: Allows specifying the impact of each criterion (maximize or minimize).
• CSV/Excel Input: Accepts input datasets in CSV or Excel format.
• Output: The package generates an output CSV or Excel file with two additional columns: Topsis Score and Rank.
• Command-Line and Programmatic Usage: Available both as a command-line tool and as a Python package for use in scripts.

Usage

Command Line Interface

topsis.py <InputDataFile> <Weights> <Impacts> <ResultFileName>

##Parameters:

InputDataFile: Path to input dataset (CSV/XLSX) Weights: Comma-separated criterion weights (e.g., "1,2,3") Impacts: Comma-separated criterion impacts ('+' for maximize, '-' for minimize) ResultFileName: Output file path for results

##Input Data Format ##File Requirements

1. Must contain at least 3 columns
2. First column: Names of alternatives
3. Columns 2 onwards: Numeric values for criteria

##Output Format #The package generates a CSV file with the original data plus two additional columns:

1. Topsis Score: Calculated similarity to ideal solution
2. Rank: Final ranking of alternatives

##Prerequisites #Python 3.6 or higher ##Dependencies: pandas numpy pyexcel ##License MIT License

##Author Soumya (GitHub Profile)