TOPSIS implementation by Varshini Pallerla
Project description
TOPSIS Python Package
Made By: Varshini Pallerla
Roll No: 102217252
Description
The TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is a multi-criteria decision-making method used to rank alternatives based on their similarity to an ideal solution. The TOPSIS Python Package is a library that provides an easy-to-use implementation of this method, helps in selecting the best alternative from a set of alternatives based on their performance across multiple criteria.
Installation
You can install the package using pip: pip install topsis-varshinipallerla
Usage
Use the following command to perform TOPSIS analysis on a dataset:
python topsis.py data.csv "1,0,1,0,1" "+,-,+,-,+" output.csv
- topsis.py: Python file with code
- data.csv: Path to the input CSV file containing the dataset.
- "1,0,1,0,1": Weights for each criterion separated by commas.
- "+,-,+,-,+": Impacts for each criterion (either + for maximizing or - for minimizing).
The output will be saved in a file named output.csv
Output
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