kartik-talwar-102003475 1.2.1

Topsis Calculation Package

topsis_kartiktalwar_102003475

What is TOPSIS

Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method.

Installation

pip install kartik-talwar-102003475==1.2.1

Input csv format

Input file contain atleast three columns
First column is the object/variable name
Other columns contain numeric values only

How to use it

Command Prompt

topsis <python_file> <Input Data File> <Weights> <Impacts> <Result File Name>

Example:

topsis topsis.py inputfile.csv “1,1,1,1,2” “+,+,+,+,-” result.csv

Note: The weights and impacts should be ',' seperated, input file should be in pwd.

Functions, Parameters and Return Values

function = topsis()
parameters = No input parameters
return values = Creates a csv file with the topsis rank and performance score

Sample input data

Model	P1	P2	P3	P4	P5
M1	0.62	0.38	3.8	33.8	9.65
M2	0.75	0.56	5.7	50.3	14.33
M3	0.95	0.90	6.5	65.6	18.49
M4	0.61	0.37	6.2	43.6	12.70
M5	0.60	0.36	6.4	61.2	17.14
M6	0.76	0.58	5.3	68.0	18.66
M7	0.66	0.44	6.2	47.2	13.63
M8	0.80	0.64	5.7	37.1	11.06

Sample output data

Model	P1	P2	P3	P4	P5	Performance Score	Topsis Rank
M1	0.62	0.38	3.8	33.8	9.65	0.317272185	8
M2	0.75	0.56	5.7	50.3	14.33	0.452068871	4
M3	0.95	0.90	6.5	65.6	18.49	0.689037307	1
M4	0.61	0.37	6.2	43.6	12.70	0.340383903	7
M5	0.60	0.36	6.4	61.2	17.14	0.367206376	6
M6	0.76	0.58	5.3	68.0	18.66	0.481350901	3
M7	0.66	0.44	6.2	47.2	13.63	0.372999972	5
M8	0.80	0.64	5.7	37.1	11.06	0.51226635	2