Metadata-Version: 2.1
Name: topsis33
Version: 1.0.0
Summary: A Python package to implement Topsis
Home-page: UNKNOWN
Author: Mukul Verma
Author-email: mverma1_be17@thapar.edu
License: MIT
Description: # topsis-python
        Topsis analysis of a csv file in python
        
        
        ## About Topsis
        
        It is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. An assumption of TOPSIS is that the criteria are monotonically increasing or decreasing. Normalisation is usually required as the parameters or criteria are often of incongruous dimensions in multi-criteria problems
        
        ## Installation
        
        
        ```bash
        pip install topsis33
        ```
        
        ## Usage
        
        Query on terminal will provide you the topsis analysis for input csv file.
        
        ```
        topsis33 -n "dataset-name.csv" -w "w1,w2,w3,w4,..." -i "i1,i2,i3,i4,..."
        
        ```
        
        w1,w2,w3,w4 represent weights, and i1,i2,i3,i4 represent impacts where 1 is used for maximize and 0 for minimize. 
        Size of w and i is equal to number of features. 
        
        Note that the first row and first column of dataset is dropped
        
        Rank 1 signifies best decision
        
        
        ## License
        [MIT](https://choosealicense.com/licenses/mit/)
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
