Topsis-Rohit-102016087 0.5

Topsis package for MCDM problems

Topsis-Rohit-102016087

This package has been created based on Project 1 of the course UCS654 by: Rohit Banyal Roll No: 102016087 Group: 3CS11

Topsis-Rohit-102016087 is a Python package implementing Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS) method used for Multiple Criteria Decision Making(MCDM) problems.

Installation

Use the package manager pip to install Topsis-Rohit-102016087.

$ pip install Topsis-Rohit-102016087

Usage

$ python 102016087.py 102016087-data.csv "1,1,1,1,1" "+,+,-,+,+" 102016087-result.csv

Input(102016087-data.csv)

Fund Name	P1	P2	P3	P4	P5
M1	0.63	0.4	6.2	53.2	15.11
M2	0.71	0.5	5.8	68.2	18.8
M3	0.94	0.88	6.5	50.2	14.63
M4	0.94	0.88	4.2	68	18.51
M5	0.82	0.67	4.4	56.9	15.7
M6	0.74	0.55	4.9	50.2	14.1
M7	0.87	0.76	6	49.4	14.26
M8	0.7	0.49	4.8	63.8	17.45

weights = [1, 1, 1, 1, 1] impacts = [+, +, -, +, +]

Output(102016087-result.csv)

Fund Name	P1	P2	P3	P4	P5	Topsis Score	Rank
M1	0.63	0.4	6.2	53.2	15.11	0.09927269186907668	8
M2	0.71	0.5	5.8	68.2	18.8	0.4094342419051654	6
M3	0.94	0.88	6.5	50.2	14.63	0.5833838463228931	3
M4	0.94	0.88	4.2	68	18.51	0.9823224290605094	1
M5	0.82	0.67	4.4	56.9	15.7	0.5862483969896158	2
M6	0.74	0.55	4.9	50.2	14.1	0.35787822513830764	7
M7	0.87	0.76	6	49.4	14.26	0.51976734282583	4
M8	0.7	0.49	4.8	63.8	17.45	0.41390792806103543	5

License

MIT