Topsis-Pramit-101903198 1.0.0.1

Multi-Criteria Decision Making

TOPSIS

Submitted By: Pramit Deep Kaur - 101903198.

Type: Package.

Title: TOPSIS method for multiple-criteria decision making (MCDM).

Version: 1.0.0.1.

Date: 2022-02-26.

Author: Pramit Deep Kaur Gogna.

Maintainer: Pramit Deep Kaur Gogna [e-mail].

Description: Evaluation of alternatives based on multiple criteria using TOPSIS method..

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What is TOPSIS?

Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method. TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution. It is a method where multiple models can be compared and scores can be assigned accordingly.

How to install this package:

>> pip install Topsis-Pramit-101903198==1.0.2

In Command Prompt

>> topsis 101903198-data.csv(your input data file) "1,1,1,1,1" "+,+,-,+,-" result.csv

Input file (data.csv)

The decision matrix should be constructed with each row representing a Model alternative, and each column representing a criterion like Accuracy, R², Root Mean Squared Error, Correlation, and many more.

Model	Correlation	R2	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 file (result.csv)

Model	Correlation	R2	RMSE	Accuracy	Topsis_score	Rank
M1	0.79	0.62	1.25	60.89	0.7722	2
M2	0.66	0.44	2.89	63.07	0.2255	5
M3	0.56	0.31	1.57	62.87	0.4388	4
M4	0.82	0.67	2.68	70.19	0.5238	3
M5	0.75	0.56	1.3	80.39	0.8113	1

The output file contains columns of input file along with two additional columns having Topsis_score and Rank.