Topsis-Ridhima-102017100 1.0.0.4

Python Library that perform TOPSIS

TOPSIS

Project-1: submitted by: Ridhima Gupta Roll no: 102017100 Group: 3CS5

It 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

pip install Topsis-Ridhima-102017100==1.0.0.4

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 (+,-), followed by result filename

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

Impact and weight should not contain spaces in between them.

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 "1,1,1,1" "+,-,+,+" result.csv

Output:

Topsis Result:

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

Free Software, Hell Yeah!