Metadata-Version: 2.1
Name: TOPSIS_Calc_101866010
Version: 0.0.1
Summary: TOPSIS score calculation
Home-page: https://github.com/pranavanand24/
Author: Pranav Anand
Author-email: pranavanand2410@gmail.com
License: UNKNOWN
Description: # TOPSIS_101866010
        
        By: Pranav Anand-101866010
        
        **Title:Multiple Criteria Decision Making using TOPSIS**
        
        ### What is TOPSIS:
        TOPSIS is an acronym that stands for 'Technique of Order Preference Similarity to the Ideal Solution' and is a pretty straightforward MCDA method. It is a multi-criteria decision analysis method, which was originally developed by Ching-Lai Hwang and Yoon in 1981 with further developments by Yoon in 1987, and Hwang, Lai and Liu in 1993.
        
        ### How to install the TOPSIS package
        
        pip install TOPSIS_101866010
        
        ### For Calculating the TOPSIS Score
        
        Topsis data.csv "0.25,0.25,0.25,0.25" "-,+,+,+" result.csv
        
        ### Input File(Example:data.csv):
        Argument used to pass the path of the input file which conatins a dataset having different fields and to perform the topsis mathematical operations
        
        ### Weights(Example:"0.25,0.25,0.25,0.25")
        The weights to assigned to the different parameters in the dataset should be passed in the argument.It must be seperated by ','.
        
        ### Impacts(Example:"-,+,+,+"):
        The impacts are passed to consider which parameters have a positive impact on the decision and which one have the negative impact.Only '+' and '-' values should be passed and should be seperated with ',' only
        
        ### Output File(Example:result.csv):
        This argument is used to pass the path of the result file where we want the rank and score to be stored
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
