topsis-swastik-102303585 1.0.5

TOPSIS algorithm as a command-line tool

Topsis-Py (CLI-Based Python Package)

A Python command-line implementation of TOPSIS
(Technique for Order Preference by Similarity to Ideal Solution) for
Multi-Criteria Decision Making (MCDM) problems.

This package is designed to be academically correct, easy to use, and PyPI-ready.

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📌 Project Highlights

Feature	Description
Algorithm	Standard TOPSIS methodology
Interface	Command-Line Interface (CLI)
Input	CSV-based decision matrix
Validation	Strict input & argument checks
Output	Ranked alternatives with scores
Documentation	Clear theory + workflow diagrams

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❓ What is TOPSIS?

TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is a widely used
Multi-Criteria Decision Making (MCDM) technique.

🔑 Core Idea

The best alternative is the one that:

• Is closest to the ideal best solution
• Is farthest from the ideal worst solution

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🌍 Common Applications

Domain	Example Use
Engineering	Design or component selection
Business	Supplier & product evaluation
Finance	Investment ranking
Data Science	Model or algorithm comparison

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🔄 TOPSIS Algorithm Flow

flowchart TD
    A[Decision Matrix] --> B[Normalization]
    B --> C[Apply Weights]
    C --> D[Ideal Best Solution]
    C --> E[Ideal Worst Solution]
    D --> F[Distance from Ideal Best]
    E --> G[Distance from Ideal Worst]
    F --> H[TOPSIS Score]
    G --> H
    H --> I[Final Ranking]

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🧠 Program Workflow

flowchart LR
    A[CLI Arguments] --> B[Input Validation]
    B --> C[Load CSV File]
    C --> D[TOPSIS Computation]
    D --> E[Score & Rank Calculation]
    E --> F[Write Output CSV]

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📦 Installation

pip install topsis-swastik-102303585

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🚀 Usage

python topsis.py <input_file> <weights> <impacts> <output_file>

Example:

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

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⚠️ Limitations

• Categorical data not supported
• Missing values not allowed
• Weights must be positive
• Impacts must be '+' or '-'

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📜 License

MIT License