topsis-ravish-102303651 0.0.3

TOPSIS implementation

TOPSIS Python Package 📌 About TOPSIS

TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is a multi-criteria decision-making (MCDM) method. It helps in ranking alternatives based on their distance from the ideal best and ideal worst solutions.

This package provides a command-line implementation of TOPSIS in Python.

📦 Installation

Install the package from PyPI using:

pip install Topsis-Ravish-102303651

🚀 Usage

The package can be used directly from the command line.

🔹 Command Format topsis

🔹 Example topsis data.csv "1,1,1,2" "+,+,-,+" result.csv

📄 Input File Format

The first column should contain the names of alternatives.

From second column to last column, values must be numeric.

The file must contain at least 3 columns.

✔ Example Input (data.csv) Fund Name,P1,P2,P3,P4 M1,0.67,0.45,6.5,42.6 M2,0.6,0.36,3.6,53.3 M3,0.82,0.67,3.8,63.1 M4,0.6,0.36,3.5,69.2

📤 Output File Format

The output file will contain two additional columns:

Topsis Score

Rank

✔ Example Output (result.csv) Fund Name,P1,P2,P3,P4,Topsis Score,Rank M1,0.67,0.45,6.5,42.6,0.61,2 M2,0.6,0.36,3.6,53.3,0.42,4 M3,0.82,0.67,3.8,63.1,0.78,1 M4,0.6,0.36,3.5,69.2,0.35,5

⚠️ Error Handling

The program checks for the following errors:

Incorrect number of command-line arguments

Input file not found

Less than 3 columns in input file

Non-numeric values in criteria columns

Number of weights, impacts, and criteria mismatch

Impacts other than + or -

Weights and impacts not separated by commas

Appropriate error messages are displayed for invalid inputs.

🛠 Requirements

Python 3.x

pandas

numpy

👨‍💻 Author

Name: Ravish Roll Number: 102303651 Course: B.Tech (Computer Engineering)

📄 License

This project is licensed under the MIT License.