Topsis-Siddharth-102303592 1.0.1

A command-line implementation of TOPSIS (MCDM) in Python

Topsis-Siddharth-102303592

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

This project is built as:

Feature	Description
Academic correctness	Follows standard TOPSIS methodology
CLI Tool	Fully executable from command line
Validation	Strict input and argument validation
Distribution	PyPI-ready Python package
Documentation	Clear explanations with diagrams

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What is TOPSIS?

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

Core Principle

The best alternative is the one that:

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

Common Applications

Domain	Usage
Engineering	Component / design selection
Business	Supplier & product evaluation
Finance	Investment ranking
Analytics	Model comparison

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TOPSIS Algorithm Flow

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

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Program Workflow (Software Perspective)

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

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Module Interaction Diagram

flowchart LR
    cli[cli.py] --> validation[validation.py]
    cli --> core[core.py]
    validation --> core
    core --> cli

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Installation

Install the package from PyPI:

pip install Topsis-Siddharth-102303592

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Usage (Command Line)

General Syntax

topsis <input_file> <weights> <impacts> <output_file>

Example

topsis sample.csv "0.4,0.4,0.2" "+,+,-" result.csv

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Input File Format

Requirements

Rule	Description
File type	CSV
Columns	Minimum 3
Column 1	Alternative / identifier
Columns 2+	Numeric criteria only

Example Input

Name,C1,C2,C3
A,250,16,12
B,200,16,8
C,300,32,16
D,275,32,8

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Output File Format

Output Characteristics

Property	Description
Original data	Preserved
New columns	Topsis Score, Rank
Ranking	1 = Best

Example Output

Name,C1,C2,C3,Topsis Score,Rank
A,250,16,12,0.2754,4
B,200,16,8,0.3196,3
C,300,32,16,0.6803,2
D,275,32,8,0.8895,1

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Error Handling & Validation

The program validates the following:

Validation Type	Description
CLI arguments	Correct number of arguments
Input file	File existence
CSV format	Minimum columns
Data values	Numeric criteria only
Weights	Numeric & count match
Impacts	Only + or -

All errors are reported with clear, user-friendly messages.

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Project Structure

Topsis-Siddharth-102303592/
│── topsis_siddharth/
│   ├── cli.py          # Command-line interface
│   ├── core.py         # Core TOPSIS algorithm
│   ├── validation.py  # Input validation
│
│── tests/
│── README.md
│── pyproject.toml
│── LICENSE

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Author

Name	Role
Siddharth Jaswal	Computer Science Student

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License

This project is licensed under the MIT License.