topsis-yash-102303796 1.0.3

A Python package for TOPSIS (Technique for Order Preference by Similarity to Ideal Solution)

TOPSIS – Python Package

Project Description

topsis-yash-102303796 is a Python package that implements
TOPSIS (Technique for Order Preference by Similarity to Ideal Solution),
a popular Multi-Criteria Decision Making (MCDM) technique.

This package ranks alternatives based on multiple numeric criteria, user-defined weights, and impacts.

This project is developed as part of an academic assignment.

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Installation

Install the package using pip:

pip install topsis-yash-102303796==1.0.3

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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_file.csv> <weights> <impacts> <output_file.csv>

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Parameters

1. input_file.csv CSV file containing alternatives and criteria (first column = names, remaining columns = numeric values)

2. weights Comma-separated numeric values Example:

1,1,1,1,1

3. impacts Comma-separated signs (+ for benefit, - for cost) Example:

+,+,-,+,+

4. output_file.csv Output CSV file generated by the program

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Example

Sample Input File (data.csv)

Fund Name	P1	P2	P3	P4	P5
M1	0.84	0.71	6.7	42.1	12.59
M2	0.91	0.83	7.0	31.7	10.11
M3	0.79	0.62	4.8	46.7	13.23
M4	0.78	0.61	6.4	42.4	12.55
M5	0.94	0.88	3.6	62.2	16.91
M6	0.88	0.77	6.5	51.5	14.91
M7	0.66	0.44	5.3	48.9	13.83
M8	0.93	0.86	3.4	37.0	10.55

Command

topsis input.csv "1,1,1,1,1" "+,+,+,+,+" output.csv

Sample Output (output.csv)

Fund Name	P1	P2	P3	P4	P5	Topsis Score	Rank
M1	0.84	0.71	6.7	42.1	12.59	0.5636923298	3
M2	0.91	0.83	7.0	31.7	10.11	0.5130321034	4
M3	0.79	0.62	4.8	46.7	13.23	0.4391772826	6
M4	0.78	0.61	6.4	42.4	12.55	0.4919560825	5
M5	0.94	0.88	3.6	62.2	16.91	0.6418858152	2
M6	0.88	0.77	6.5	51.5	14.91	0.7381481319	1
M7	0.66	0.44	5.3	48.9	13.83	0.4073895318	8
M8	0.93	0.86	3.4	37.0	10.55	0.4084986767	7

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Notes

1. Input CSV must contain numeric values only (except first column)
2. Number of weights must match number of criteria columns
3. Impacts must be either + or -
4. Input and output files must be in the current working directory
5. The package does not include sample CSV files

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Author

Yash Raghuvanshi Roll Number: 102303796