topsis-rupanshijain-102017010 1.1.1

TOPSIS method for multi-criteria decision making

topsis_rupanshi_102017010

TopsisPy is a Python Package implementing Topsis method used for multi-criteria decision analysis. Topsis stands for 'Technique for Order of Preference by Similarity to Ideal Solution'.

Installation

Install the Package using the command -

$ pip install topsis_rupanshi_102017010

Usage

python -m topsis_rupanshijain_102017010.topsis102017010 <InputDataFile> <Weights> <Impacts> <ResultFileName>

Example

Fund Name	P1	P2	P3	P4	P5
M1	0.94	0.88	3.8	40.8	11.61
M2	0.77	0.59	5.6	45.4	13.09
M3	0.8	0.64	7	57.7	16.54
M4	0.67	0.45	3.1	61.6	16.46
M5	0.89	0.79	5.9	67.7	18.82
M6	0.66	0.44	6.2	62.1	17.35
M7	0.73	0.53	6.6	34.5	10.59
M8	0.91	0.83	3.2	55.3	15.06
weights : [1, 1, 1, 2, 1]
impacts : [+, +, -, +, +]

input: 102017010.csv

python3 -m topsis_rupanshijain_102017010.topsis102017010 102017010.csv "1,1,1,2,1" "+,+,-,+,+" 102017010-result.csv

output: 102017010-result.csv

Fund Name	P1	P2	P3	P4	P5	Performance Score	Rank
M1	0.94	0.88	3.8	40.8	11.61	0.47123375880088600	6
M2	0.77	0.59	5.6	45.4	13.09	0.33633254123378100	7
M3	0.8	0.64	7.0	57.7	16.54	0.5217872008890350	5
M4	0.67	0.45	3.1	61.6	16.46	0.6239838869195070	3
M5	0.89	0.79	5.9	67.7	18.82	0.7322985618518600	1
M6	0.66	0.44	6.2	62.1	17.35	0.5354177643750590	4
M7	0.73	0.53	6.6	34.5	10.59	0.09985769514278550	8
M8	0.91	0.83	3.2	55.3	15.06	0.706943829440074	2

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!