topsis-Devansh-102218067 0.2

A Python package for TOPSIS

Topsis-Devansh-102218067

Topsis-Devansh-102218067 is a Python package for performing TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), a multi-criteria decision-making method. This package is designed to help rank alternatives based on their distance from an ideal solution.

Table of Contents

• Installation
• Usage
  • Command-Line Interface (CLI)
  • Example
• Input File Format
• Output File Format
• Error Handling
• License

Installation

Prerequisites

• Python
• pip (Python package installer)

Installation Commands

To install the package locally:

pip install Topsis-Devansh-102218067==0.1

Once installed, the topsis command will be available for use in your command line.

Usage

Command-Line Interface (CLI)

You can run the TOPSIS analysis using the topsis command. The syntax is as follows:

topsis <InputFileName> <weights> <impacts> <OutputFileName>

• inputFileName: Path to the input CSV file containing the data.
• weights: Comma-separated weights for each criterion (e.g., "0.3,0.2,0.5").
• impacts: Comma-separated impacts for each criterion, where '+' denotes a beneficial criterion and '-' denotes a non-beneficial criterion (e.g., "+,+,-").
• resultFileName: Path to the output CSV file where the results will be saved.

Example

Suppose you have a CSV file named data.csv with the following structure:

Ind,C1,C2,C3,C4
A1,250,16,12,5
A2,200,25,8,3
A3,300,20,10,4
A4,275,22,9,4.5

You can run the TOPSIS analysis with:

topsis data.csv "0.3,0.2,0.4,0.1" "+,+,-,+," result.csv

This command will generate a result.csv file with the TOPSIS scores and ranks.

Input File Format

• The input file MUST be in CSV format.
• The first column should contain labels for the alternatives (e.g., "A1", "A2").
• The remaining columns should contain numeric data for the criteria.

Example:

Ind,C1,C2,C3,C4
A1,250,16,12,5
A2,200,25,8,3
A3,300,20,10,4
A4,275,22,9,4.5

Output File Format

The output file will be a CSV file with the original data plus two additional columns:

• Topsis Score: The calculated TOPSIS score for each alternative.
• Rank: The rank of each alternative based on the TOPSIS score.

Example:

Ind,C1,C2,C3,C4,Topsis Score,Rank
A1,250,16,12,5,0.68,2
A2,200,25,8,3,0.55,4
A3,300,20,10,4,0.78,1
A4,275,22,9,4.5,0.65,3

Error Handling

The program includes robust error handling for common issues:

• File Not Found: An error message will be displayed if the input file is missing.
• Non-Numeric Data: The program will check for non-numeric data in criteria columns.
• Unequal Weights and Impacts: The number of weights and impacts must match the number of criteria.
• Incorrect Impacts: Impacts must be either '+' or '-'.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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