Topsis-Savree-102317097 0.0.3

TOPSIS implementation as a Python package

Topsis-Savree-102317097

A Python package implementing the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method for multi-criteria decision making.

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📌 About TOPSIS

TOPSIS is a ranking technique used to evaluate multiple alternatives based on several criteria.
The best alternative is the one:

• Closest to the ideal best solution
• Farthest from the ideal worst solution

This package allows users to perform TOPSIS analysis easily via command line.

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⚙️ Installation

Install directly from PyPI:

pip install Topsis-Savree-102317097

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🚀 Usage (Command Line)

topsis-s102317097 <InputDataFile> <Weights> <Impacts> <ResultFileName>

Example:

topsis-s102317097 input.csv "1,1,1" "+,+,-" result.csv

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📂 Input File Requirements

• CSV file with at least three columns
• First column → Alternative names
• Remaining columns → Numeric criteria values only

Example Input (input.csv)

Option	Cost	Quality	Durability
A1	250	7	8
A2	200	6	9
A3	300	8	7

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📊 Parameters

Weights

Comma-separated numeric values
Example: "1,1,1"

Impacts

Comma-separated signs

• + → Benefit criterion (higher is better)
• - → Cost criterion (lower is better)

Example: "+,+,-"

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📈 Output

The result CSV file will include:

• Original data
• Topsis Score
• Rank

Higher score → Better alternative.

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🛠 Error Handling

The package validates:

• Incorrect number of weights
• Incorrect number of impacts
• Non-numeric data in criteria columns
• Invalid impact symbols
• Missing input file

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👤 Author

Savree Dohar
Roll Number: 102317097

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