Metadata-Version: 2.1
Name: Topsis-Lovely-102218034
Version: 1.0.1
Summary: It will find the topsis score of data to find the best module
Home-page: https://github.com/bansal9855/Topsis-Lovely-102218034
Author: Lovely Bansal
Author-email: admin@gmail.com
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: numpy

 #Topsis-Lovely-102218034
 The TOPSIS Python script implements the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. TOPSIS is a multi-criteria decision-making method that helps in ranking and choosing from among alternatives based on their relative closeness to an ideal solution. This script reads data from a CSV file, applies the TOPSIS method, and outputs the results to another CSV file.

##Installation
```pip install Topsis-Lovely-102218034```

##Usage
```python topsis <InputDataFile> <Weights> <Impacts> <ResultFileName>```

Enter csv filename followed by .csv extentsion, then enter the weights vector with vector values separated by commas, followed by the impacts vector with comma separated signs (+,-) and result csv filename followed by .csv extension.


#License
Â© 2024 Lovely Bansal

This repository is licensed under the MIT license. See LICENSE for details.


