This is a web application that implements the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method to rank alternatives based on multiple criteria.
It is currently live at pythonanywhere
Topsis_Flask.mp4
TOPSIS is a decision-making method used to evaluate and rank alternatives when there are multiple criteria involved. This web application allows users to upload a CSV file containing the decision matrix and specify weights for each criterion. It then calculates the relative closeness to the ideal solution for each alternative and ranks them accordingly.
You want to buy a car. There are a lot products with their own features in the market.Let say we consider following:
- Price (Weight: 0.4): We prefer a car with a lower price as it fits our budget better.
- Fuel Efficiency (Weight: 0.3): We want a car that offers better mileage to save on fuel costs.
- Safety Rating (Weight: 0.2): Safety is crucial, and we want a car with a higher safety rating.
- Comfort Level (Weight: 0.1): We also want a comfortable ride, so this criterion is important but not as much as the others.
A more weightage means more priority to that feature. Also,Each car has its Rating to a particular feature based upon them we can calculate preffered car.
How Algorithm Works? Go Here!
- Asking Required Number of Weights (Dynamically)
- Negative Weights can also be handled
- Result Pdf will be genrated
- Sending Email option is also available
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Upload CSV file: Users can upload a CSV file containing the decision matrix. The first column should contain the alternative names, and the rest of the columns should represent the criteria.
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Number of Weights: Dynamically Adding Number of Weights from user input.
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Enter Weights: Users can enter weights for each criterion using input fields.
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Calculate Rankings: The application calculates the relative closeness to the ideal solution for each alternative and ranks them based on the TOPSIS scores.
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PDF Report: After ranking the alternatives, the application generates a PDF report showing the ranked alternatives.
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Email Results: Users can enter their email address and receive the PDF report as an attachment via email.
- Clone the repository to your local machine.
git clone https://github.com/yourusername/topsis-web-app.git
- Install the required Python packages using pip.
pip install -r requirements.txt
- Create a
config.inifile in the project directory and provide your Gmail email and password as follows:
[login]
email = [email protected]
password = your_email_password
- Run the application.
python app.py
- Access the application in your web browser at http://localhost:5000 (5000 port might varies)
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Upload CSV File: Click on "Choose File" to select your CSV file and click "Upload" to load the decision matrix.
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Weights Required: Enter Number of Weights Required.
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Enter Weights: Enter the weights for each criterion in the input fields and click "Submit" to start the TOPSIS calculation.
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View Results: The application will display the ranked alternatives based on the TOPSIS scores. You can also download the PDF report showing the ranked alternatives.
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Email Results: Enter your email address and click "Send Email" to receive the PDF report via email.
- Flask
- Pandas
- NumPy
- ReportLab
- smtplib
This project is licensed under the MIT License - see the LICENSE file for details.
Made with ❤️ by Mani Garg