Implements Topsis

# TOPSIS

Code by: Alamjeet Singh

## What is TOPSIS

TOPSIS stands for â€˜The Technique for Order of Preference by Similarity to the Ideal Solutionâ€™ is a multi-criteria decision analysis(MCDA) method. 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.

## How to run

#### Before running, make sure you have pandas installed on your system

Open Terminal and input the following commands

pip install Topsis-Alamjeet-101803728

python

from topsis.topsis1 import topsis topsis("input.csv","1,2,1,2","+,+,-,+","output.csv")

## Sample Input

This input was used to test the module

ModelCorrRseqRMSEAccuracy
M10.790.621.2560.89
M20.660.442.8963.07
M30.560.311.5762.87
M40.820.672.6870.19
M50.750.561.380.39

## Output

ModelCorrRseqRMSEAccuracyTopsis ScoreRank
M10.790.621.2560.890.6391332.0
M20.660.442.8963.070.2125925.0
M30.560.311.5762.870.4078464.0
M40.820.672.6870.190.5191533.0
M50.750.561.380.390.8282671.0

## Project details

Uploaded source
Uploaded py3