Ekaspreet-topsis-102017078 1.0.0

A Python package implementing TOPSIS for MCDM

Ekaspreet-topsis-102017078

Topsis in Python

Author: Ekaspreet 102017078
Maintainer: Ekaspreet [e-mail].

TOPSIS: It is a for Multiple Criteria Decision Making,A Technique for Order Preference by Similarity to Ideal
More details at wikipedia.

In Command Prompt

>> topsis data.csv "1,1,1,1" "+,+,-,+" result.csv

Input file (data.csv)

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

Weights (weights) is not already normalised will be normalised later in the code.

Information of positive(+) or negative(-) impact criteria should be provided in impacts.

Output file (result.csv)

Model	Correlation	R2	RMSE	Accuracy	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 **Score** and **Rank**