Metadata-Version: 2.1
Name: Topsis-Yoshna-101903502
Version: 1.0.0
Summary: A Python package implementing TOPSIS technique.
Home-page: UNKNOWN
Author: Yoshna Marwaha
Author-email: ymarwaha_be19@thapar.edu
License: MIT
Description: # TOPSIS-Python
        
        Submitted By: _Yoshna Marwaha_
        
        ---
        
        ## What is TOPSIS
        
        *Technique for **Order **Preference by **Similarity to **I*deal
        *S*olution (TOPSIS) originated in the 1980s as a multi-criteria decision
        making method. TOPSIS chooses the alternative of shortest Euclidean distance
        from the ideal solution, and greatest distance from the negative-ideal
        solution. More details at [wikipedia](https://en.wikipedia.org/wiki/TOPSIS).
        
        <br>
        
        ## How to use this package:
        
        Topsis-Yoshna-101903502 can be run as in the following example:
        
        ### In Command Prompt
        
        > > topsis data.csv "1,1,1,1" "+,+,-,+" output.csv
        
        <br>
        
        ### In Python IDLE:
        
        > > > import pandas as pd
        > > > from topsis_py.topsis import topsis
        > > > dataset = pd.read_csv('data.csv').values
        > > > d = dataset[:,1:]
        > > > w = [1,1,1,1]
        > > > im = ["+" , "+" , "-" , "+" ]
        > > > topsis(d,w,im,output.csv)
        
        <br>
        <br>
        
        The rankings are displayed in the form of a table using a package 'tabulate', with the 1st rank offering us the best decision, and last rank offering the worst decision making, according to TOPSIS method.
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
