Metadata-Version: 2.1
Name: TOPSIS-shobhit-101803372
Version: 1.1.4
Summary: This package can be used to calculate the topsis score of multiple component data and rank them accordingly
Home-page: UNKNOWN
Author: Shobhit Dev Goyal
Author-email: devshobhit@gmail.com
License: MIT
Description: # topsis_pckg
        It is a Python package to find out the best value among the different data using the mathematical calculations.
        ## Installation
        
        Use the package manager [pip](https://pip.pypa.io/en/stable/) to install this package.
        
        ```bash
        pip install TOPSIS-shobhit-101803372
        ```
        
        ## About
        TOPSIS is an acronym that stands for 'Technique of Order Preference Similarity to the Ideal Solution' and is a pretty straightforward MCDA method. As the name implies, the method is based on finding an ideal and an anti-ideal solution and comparing the distance of each one of the alternatives to those
        
        To get started quickly, just use the following:
        
        ```bash
        from topis_pckg.topsis import topsis
        topsis('inputfilename','Weights','Impacts','Outputfilename')
        ```
        make ensure the weights and impacts should be in "" 
        
        eg: "1,1,1,1" and "+,-,+,-"
        
        ## Pre-requisite
        The data should be enclosed in the csv file. There must be more than 2 columns
        
        
        ## Result
        the output(outputfilename)  is saved in the project folder with extra 2 columns with topsis score and rank.
        
        ## License
        [MIT](https://choosealicense.com/licenses/mit/)
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
