topsis-tarun 0.1.0

Command-line implementation of TOPSIS (MCDA technique)

TOPSIS Command Line Assignment

Submitted byt: Tarun Krishna Shastri / 102303315 / 3C23

Description

This project implements the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method as a command-line Python program, as required for the Data Science elective assignment.

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Folder Structure

TOPSIS_Assignment/
│
├── topsis.py          # Main TOPSIS implementation
├── README.md          # Instructions to run the program

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Requirements

• Python 3.x
• pandas
• numpy

Install dependencies using:

pip install pandas numpy

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▶ How to Run (Command Line)

General Syntax

python topsis.py <InputDataFile> <Weights> <Impacts> <OutputFileName>

Example

python topsis.py data.csv "1,1,1,2" "+,+,-,+" output-result.csv

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Input File Rules

• CSV file with minimum 3 columns
• First column: Alternatives (string)
• Remaining columns: Numeric criteria

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Output File

• Contains all original columns
• Adds:
  • Topsis Score
  • Rank (1 = Best)

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Error Handling

The program checks:

• Correct number of parameters
• File not found
• Minimum column count
• Numeric data validation
• Weight & impact consistency
• Valid impact symbols (+ / -)

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Notes

• Weights and impacts must be comma-separated
• Impacts must be only + or -
• Ranking uses descending TOPSIS score

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🎓 Author

Data Science Elective Assignment