Topsis-Vedika-102313060 1.0.0

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Topsis-Vedika-102313060

A Python command-line tool that implements the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to rank alternatives using multiple criteria.

The program reads a CSV file, applies TOPSIS using given weights and impacts, and generates a ranked output CSV file.

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Installation

Install using pip:

pip install Topsis-Vedika-102313060

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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 <input.csv> <output.csv>

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Example

A CSV file containing fund performance data with multiple criteria.

Example format:

Fund Name	P1	P2	P3	P4	P5
M1	0.9	0.81	3	36	10.18
M2	0.82	0.67	4.3	50.1	13.97
M3	0.79	0.62	5.3	38.7	11.35
M4	0.87	0.76	5.8	47.5	13.73
M5	0.72	0.52	5.8	40.2	11.81
M6	0.95	0.90	4.4	60.3	16.64
M7	0.82	0.67	4.8	48.7	13.75
M8	0.62	0.38	5.4	40.2	11.65

weights vector:[1,1,1,1,1] impacts vector:[+,+,+,+,+]

input command: topsis data.csv "1,1,1,1,1" "+,+,+,+,+" result.csv

Output

The generated result.csv file will include:

• Topsis Score
• Rank

Each fund will be ranked based on TOPSIS score. Higher score indicates better rank.