topsis-kavish-102317012 1.0.0

A Python package for TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution)

Topsis-Kavish-102317012

A Python package for implementing TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) for multi-criteria decision analysis.

What is TOPSIS?

TOPSIS is a multi-criteria decision analysis method that helps in ranking alternatives based on their closeness to the ideal solution. It is widely used in decision-making scenarios where multiple conflicting criteria need to be considered.

Installation

You can install the package using pip:

pip install Topsis-Kavish-102317012

Usage

Command Line

After installation, you can use the topsis command directly from the terminal:

topsis <InputDataFile> <Weights> <Impacts> <OutputResultFileName>

Example:

topsis data.csv "1,1,1,1" "+,+,-,+" output.csv

Python Script

You can also use it in your Python code:

from topsis_kavish_102317012 import topsis

topsis('data.csv', '1,1,1,1', '+,+,-,+', 'output.csv')

Input File Format

The input CSV file should have the following structure:

• First column: Names of alternatives (e.g., Fund Name, Model Name)
• Remaining columns: Numeric criteria values

Example (data.csv):

Fund Name,P1,P2,P3,P4
M1,0.87,0.40,6.7,47.9
M2,0.66,0.45,6.9,48.5
M3,0.66,0.42,5.4,49.7

Parameters

• InputDataFile: Path to the input CSV file
• Weights: Comma-separated weights for each criterion (e.g., "1,1,1,1")
• Impacts: Comma-separated impacts for each criterion, either '+' (beneficial) or '-' (non-beneficial)
• OutputResultFileName: Path for the output CSV file

Output

The output CSV file will contain:

• All original columns
• Topsis Score: Calculated TOPSIS score for each alternative
• Rank: Ranking based on TOPSIS score (1 is best)

Requirements

• Python >= 3.6
• pandas >= 1.0.0
• numpy >= 1.18.0

Validations

The package performs the following validations:

• Input file must have at least 3 columns
• Columns from 2nd to last must contain only numeric values
• Number of weights must equal number of criteria
• Number of impacts must equal number of criteria
• Impacts must be either '+' or '-'

Author

Kavish
Roll Number: 102317012

License

MIT License