Metadata-Version: 2.1
Name: topsis-tanisha-101803042
Version: 1.2
Summary: Topsis Score and Rank generator
Home-page: https://github.com/Tanisha1508/topsis_tanisha_101803042
Author: Tanisha Garg
Author-email: tgarg_be18@thapar.edu
License: MIT
Download-URL: https://github.com/Tanisha1508/topsis_tanisha_101803042/archive/v1.2.tar.gz
Description: # TOPSIS
        Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a multi-criteria decision making method. 
        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.
        TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution.
        
        ## Package Usage
        To install the package:  
        **pip install topsis_tanisha_101803042**  
        This is a package focusing on finding the topsis score and rank of a dataframe **(csv file)** with only numerical values.
        
        ## Python IDLE or any Editor   
        > import topsis_tanisha_101803042.topsis  
        > f = "input_csv_filepath"  
        > w = "1,1,1,1"  
        > im = "+,+,+,-"  
        > r = "result_csv_filepath"  
        > topsis_tanisha_101803042.topsis.rank(f,w,im,r)  
        The final result can be seen in the result file given as r.  
        
Keywords: topsis,topsis score,rank,Thapar
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
