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A topsis Implementation in python for multi-criteria decision making

Project description

TOPSIS implementation in python for multi-criteria decision making

This package has been created based on Project 1 of course UCS633(DATA ANALYSIS AND VISUALISATION ) Thapar University, Patiala
Nishant Goel  
COE17
Roll number: 101703376

Output is a list with rankings of different objects.

  • also includes Best_performance_object

Installation

pip install topsis_nishant_76

Recommended - test it out in a virtual environment.

Upgrade

pip install topsis_nishant_76 --upgrade

To use via command line

topsis_cli mydata.csv '1,2,1,1' '-,+,+,+'

First argument is filename with .csv extension. The .csv file is assumed to have a structure similar to one provided in topsis_nishant_76/mydata.csv

That is, the .csv file should have a header with column names and first column should only list alternatives and not attribute values.

To use in .py script

from topsis_nishant_76 import topsis_nish
"""
decision_matrix is 2D numpy array, weights is a string seperated with ',' and impacts is a string of the form '+,-,+,-' 
where + indicates benefit and - indicates cost
"""
topsis_nish('mydata.csv','1,2,1,1','+,-,+,+')

Project details


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