Topsis-Rohan-102003029 1.0.0

Topsis package for Multiple Criteria Decision Making problems(MCDM) problems

Topsis Score Calculator

Project-1 (UCS654)
Submitted By: Rohan Grover Roll no: 102003029 Group: 3COE2

Topsis-Rohan-102003029 is a Python library for dealing with Multiple Criteria Decision Making(MCDM) problems by using Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS).

Installation

Use the package manager pip to install Topsis-Rohan-102003029.

pip install Topsis-Rohan-102003029

Usage

Enter csv filename followed by .csv extentsion, then enter the weights vector with vector values separated by commas, followed by the impacts vector with comma separated signs (+,-)

topsis sample.csv "1,1,1,1" "+,-,+,+" output.csv

Example

sample.csv

A csv file showing data for different mobile handsets having varying features.

Model	Storage space(in gb)	Camera(in MP)	Price(in $)	Looks(out of 5)
M1	16	12	250	5
M2	16	8	200	3
M3	32	16	300	4
M4	32	8	275	4
M5	16	16	225	2

weights vector = [ 0.25 , 0.25 , 0.25 , 0.25 ]

impacts vector = [ + , + , - , + ]

input:

topsis sample.csv "0.25,0.25,0.25,0.25" "+,+,-,+" output.csv

output:

Model	Storage space(in gb)	Camera(in MP)	Price(in $)	Looks(out of 5)	Topsis Score	Rank
M1	16	12	250	5	0.534277	3
M2	16	8	200	3	0.308368	5
M3	32	16	300	4	0.691632	1
M4	32	8	275	4	0.534737	2
M5	16	16	225	2	0.401046	4

Other notes

• The first column and first row are removed by the library before processing, in attempt to remove indices and headers. So make sure the csv follows the format as shown in sample.csv.
• Make sure the csv does not contain categorical values

License

MIT