Topsis-Prigya-102313061 1.0.2

Command line implementation of TOPSIS method

TOPSIS Python Package

This project implements the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method as a command line tool.

TOPSIS is a multi-criteria decision making technique used to rank alternatives based on their distance from an ideal best and ideal worst solution.

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Installation

pip install Topsis-Prigya-102313061

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Input File Format

The input must be a CSV file with:

• First column: Names of alternatives
• Remaining columns: Numeric criteria values

Example Input CSV

Laptop Model	Performance	Battery Life	Weight (kg)	Price ($)
Model A	90	8	1.8	1200
Model B	85	10	1.5	1500
Model C	88	7	2.0	1000
Model D	92	9	1.6	1800

Meaning of Criteria

• Performance → Higher is better (+)
• Battery Life → Higher is better (+)
• Weight → Lower is better (-)
• Price → Lower is better (-)

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Parameters Used

• Weights vector = [1, 1, 1, 1]
• Impacts vector = [+, +, -, -]

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Command Line Usage

topsis data.csv "1,1,1,1" "+,+,-,-" output.csv

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Output

The output CSV file will contain two additional columns:

Laptop Model	Topsis Score	Rank
Model A	0.534277	3
Model B	0.308368	4
Model C	0.691632	1
Model D	0.534737	2

• Topsis Score
• Rank

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Notes

• The first column must contain the names of alternatives.
• All remaining columns must contain numeric values only.
• Number of weights and impacts must match the number of criteria columns.

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Requirements

• Python 3.6+
• pandas
• numpy

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Author

Prigya Goyal

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License

This project is released under the MIT License for educational purposes. See the LICENSE file for details.