Metadata-Version: 2.1
Name: Topsis-Abhilash-102053017
Version: 0.0.1
Summary: A Python package to find TOPSIS for multi-criteria decision analysis method
Home-page: https://github.com/abhi-1407
Author: Abhilash Jena
Author-email: abhilashj02@gmail.com
License: MIT
Description: #Topsis-Abhilash-102053017
        ## Topsis Package
        
        
        
        This package lets user enter an input file and then generated an output into a corresponding output file wherein the items are given a rank on the basis of weight and impact entered by the user
        
        Used for multi-criteria decision analysis.
        
        TOPSIS stands for Technique for Order of Preference by Similarity to Ideal Solution
        
        Just provide the input attributes and it will gives the results
        
        ## Features
        -checks for input and output file errors
        
        ## Installation
        
        Install the dependencies and devDependencies and start the server.
        
        ```sh
        $ pip install Topsis-Abhilash-102053017
        
        $ python <package_name> <path to input_data_file_name> <weights as strings> <impacts as strings> <result_file_name>
        
        E.g for input data file as data.csv:
        $ python topsis.py data.csv "1,1,1,1" "+,+,-,+" output.csv
        
        This will print all the output attribute values along with the rank column, in a tabular format
        ```
        
        
Keywords: topsis,Multicriteria
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
