Topsis-Nitish-101803154 1.1.3

This package can be used to calculate the topsis score of multiple component data and rank them accordingly

TOPSIS Package in Python

UCS538 Data Science Fundamentals Assignment06 - TOPSIS

Submitted by: Nitish Jain

Roll no: 101803154

---

Brief About TOPSIS

TOPSIS stands for ‘Technique of Order Preference Similarity to the Ideal Solution’ and is a pretty straightforward MCDA method. As the name implies, the method is based on finding an ideal and an anti-ideal solution and comparing the distance of each one of the alternatives to those.

---

Installation

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

>> pip install TOPSIS-Nitish-101803154

Usage

>> python
>>>from topsis_analysis.topsispackage import topsis
>>>topsis("data.csv","1,1,1,2","+,+,-,+","output.csv")

Sample Input

This input was used to test the module

Model	Corr	Rseq	RMSE	Accuracy
M1	0.79	0.62	1.25	60.89
M2	0.66	0.44	2.89	63.07
M3	0.56	0.31	1.57	62.87
M4	0.82	0.67	2.68	70.19
M5	0.75	0.56	1.3	80.39

Output

Model	Corr	Rseq	RMSE	Accuracy	Topsis Score	Rank
M1	0.79	0.62	1.25	60.89	0.639133	2.0
M2	0.66	0.44	2.89	63.07	0.212592	5.0
M3	0.56	0.31	1.57	62.87	0.407846	4.0
M4	0.82	0.67	2.68	70.19	0.519153	3.0
M5	0.75	0.56	1.3	80.39	0.828267	1.0

License

© 2020 Nitish Jain

This repository is licensed under the MIT license. See LICENSE for details.