topsis-sneha-102303723 1.0.0

TOPSIS implementation using Python

Topsis-Sneha-102303723

This Python package implements the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method, 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

Install the package from PyPI using pip:

pip install Topsis-Sneha-102303723

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Usage

The package provides a command-line interface (CLI).

Command format

topsis <input_file> <output_file>

Example

topsis data.csv "2,1,3,1,2" "+,-,+,+,-" result.csv

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Input File Format

• The input file must be a CSV file.
• The file must contain at least 3 columns.
• The first column is treated as an identifier (name/label).
• All columns from the second column to the last column must contain numeric values only.

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Weights and Impacts

• Weights must be numeric and separated by commas.
• Impacts must be either + (benefit) or - (cost) and separated by commas.
• The number of weights and impacts must be equal to the number of criteria columns.

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Output

• The output is a CSV file.
• Two additional columns are added:
  • Topsis Score
  • Rank
• Higher Topsis score indicates a better rank.

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Error Handling

The program validates:

• Correct number of command-line arguments
• File existence
• Numeric values in criteria columns
• Correct number of weights and impacts
• Valid impact symbols (+ or -)

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Author

Sneha