Topsis-Kamal-102103259 1.0.14

A python package for implementing topsis

Topsis-Kamal-102103259

For : Assignment(UCS654)
Submitted by: Kamalpreet Kaur
Roll no:102103259 Group:3COE9

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-Kamal-102103259

Example:

Sample dataset

Fund Name	P1	P2	P3	P4	P5
M1	0.78	0.61	5.5	34.7	10.4
M2	0.88	0.77	5	58.4	16.26
M3	0.61	0.37	5.9	39.9	11.7
M4	0.76	0.58	4.2	57.7	15.81
M5	0.84	0.71	3.2	48	13.19
M6	0.76	0.58	4	68.8	18.54
M7	0.81	0.66	6.5	38.2	11.54
M8	0.81	0.66	3.2	32.8	9.37

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_Kamal_102103259 data.xlsx "1,1,1,2,2" "+,+,-,-,+" output.csv

Output

This will be in our Output csv file

Fund Name	P1	P2	P3	P4	P5	Topsis Score	Rank
M1	0.78	0.61	5.5	34.7	10.4	0.5303740545041122	4
M2	0.88	0.77	5	58.4	16.26	0.5372510220778413	3
M3	0.61	0.37	5.9	39.9	11.7	0.4715707210914604	8
M4	0.76	0.58	4.2	57.7	15.81	0.5099483054760279	6
M5	0.84	0.71	3.2	48	13.19	0.57723478293325	1
M6	0.76	0.58	4	68.8	18.54	0.49447887833737925	7
M7	0.81	0.66	6.5	38.2	11.54	0.5244107252631429	5
M8	0.81	0.66	3.2	32.8	9.37	0.5576533672285703	2