topsis-abhiraj-singh-jhajj-102217094 1.0.6

TOPSIS implementation for multi-criteria decision analysis

Topsis-Abhiraj-Singh-Jhajj-102217094

Topsis-Abhiraj-Singh-Jhajj-102217094 is a Python package that implements the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method for multi-criteria decision making. This tool is ideal for evaluating and ranking alternatives based on multiple criteria, which is essential in fields like supply chain management, finance, and engineering.

Installation

You can install Topsis-Abhiraj-Singh-Jhajj-102217094 directly from the Python Package Index using pip:

pip install Topsis-Abhiraj-Singh-Jhajj-102217094

Usage

Command Line Interface

To use the package from command line, you need to prepare your data in CSV or Excel format where the first column contains the names/labels of the alternatives, and the subsequent columns contain the criteria values.

Using the CLI program python 102217094.py data-1.xlsx "1,2,3,1,2" "+,+,-,+,+" 102217094-result.csv

Using the installed package topsis data.csv "1,2,3" "+,-,+" results.csv

Python Script Usage

from topsis_Abhiraj_102217094 import topsis_analysis

Perform TOPSIS analysis result = topsis_analysis('data.csv', '1,2,3,1,2', '+,+,-,+,+', 'result.csv')

Parameters

• Input file: CSV or Excel file with alternatives and criteria
• Weights: Comma-separated string of weights for each criterion (e.g., "1,2,3,1,2")
• Impacts: Comma-separated string of impacts for each criterion:
  • + indicates that higher values are better
  • - indicates that lower values are better
• Output file: Path where results will be saved

Example

Given a dataset with 5 criteria (P1, P2, P3, P4, P5):

python 102217094.py 102217094-data.csv "1,2,3,1,2" "+,+,-,+,+" 102217094-result.csv

Features

• Easy integration with Pandas DataFrames
• Customizable weights and criteria impacts
• Automatic normalization and ranking of alternatives
• Command line interface for easy access and usage
• Support for both CSV and Excel input files
• Comprehensive error handling and validation

Repository

GitHub: abhirajsinghjhajj/Topsis_Abhiraj_Singh_Jhajj_102217094

Author

Abhiraj Singh Jhajj (102217094)

• Email: [e-mail]
• GitHub: @abhirajsinghjhajj

License

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