Implementation of Multiple Criteria Decision Making (MCDM) using TOPSIS in Python.

# Implementation of TOPSIS by Lakshya Gupta

This package calculates topsis/performance score for given .csv file, thus helping in Multiple Critera Decision Making (MCDM).

## Important Details

##### Input File
• The input file must be a .csv or .txt file only.
• The input file must have atleast three columns.
• The first column of the input file is the object/variable name. (e.g. X1, X2, X3, X4...)
• All columns except the first (name) column contain numeric values only.
##### Output File
• The output file contains two new columns i.e. Topsis Score and Rank along with the original columns.
##### Parameters for the topsis function are as follows
• The input file name. It must end with .csv or .txt. The complete file path must be given to read the file residing in a different directory.

• The weights string that contains the weights for each column separated by commas. Example: "0.25,0.25,0.25,0.25"

• The impacts string that contains the impacts for each column separated by commas. Example: "+,+,-,+"

• The output file name. It must end with .csv or .txt. The complete file path must be given to save the file in a different directory.

## Sample Use Case

import TOPSIS_Lakshya_101803492 as t
t.topsis("inputFileName.csv", "0.25,0.25,0.25,0.25", "+,+,-,+", "outputFileName.csv")


## Change Log

##### 0.0.65 (12/11/2020)
• First Release

## Project details

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