Topsis-AbhiroopSingh-102213027 1.0.14

A python package for implementing topsis

Topsis- Abhiroop_Singh-102213027

Assignment(UCS654)
Submitted by: Abhiroop Singh
Roll no: 102213027
Group: 3C14

Description

This is a python package used to implement TOPSIS(Technique of Order Preference Similarity to the Ideal Solution) for MCDA(Multiple criteria decision analysis)

How to use this package:

Installation

pip install Topsis-AbhiroopSingh-102213027

Example:

Sample dataset

P1	P2	P3	P4	P5
0.84	0.71	6.7	42.1	12.59
0.91	0.83	7.0	31.7	10.11
0.79	0.62	4.8	46.7	13.23
0.78	0.61	6.4	42.4	12.55
0.94	0.88	3.6	62.2	16.91
0.88	0.77	6.5	51.5	14.91
0.66	0.44	5.3	48.9	13.83
0.93	0.86	3.4	37.0	10.55

Input

In Command Prompt

Enter filename followed by .csv or .xlsx extension, then enter values of weights separated by commas like "1,1,1,2,2",then enter values of impacts separated by commas like "+,+,-,-,+" without giving space in between comma value, then enter name of file where you want to save output followed by .csv extension

python -m Topsis_AbhiroopSingh_102213027 data.xlsx "1,1,1,1,1" "+,-,+,-,+" output.csv

Output

This will be in our Output csv file

P1	P2	P3	P4	P5	Topsis Score	Rank
0.84	0.71	6.7	42.1	12.59	0.5945517248616172	2
0.91	0.83	7.0	31.7	10.11	0.5662461787825045	3
0.79	0.62	4.8	46.7	13.23	0.4853941230447056	6
0.78	0.61	6.4	42.4	12.55	0.6127758823558636	1
0.94	0.88	3.6	62.2	16.91	0.36155091758331526	8
0.88	0.77	6.5	51.5	14.91	0.5387640655736284	5
0.66	0.44	5.3	48.9	13.83	0.560458620506467	4
0.93	0.86	3.4	37.0	10.55	0.38966293040831607	7

Published Package on pypi.org

https://pypi.org/project/Topsis-AbhiroopSingh-102213027/