Topsis-Aishani-102303250 1.0.1

A Python package for TOPSIS implementation

TOPSIS Command Line Tool

📊 Topsis-Aishani-102303250 is a package that provides a command-line implementation of the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method for multi-criteria decision making.

🔗 Links & Download

• PyPI Project Page: https://pypi.org/project/Topsis-Aishani-102303250/

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🛠️ Installation

Use the package manager pip to install this package directly from your terminal.

pip install Topsis-Aishani-102303250

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Usage

You can use this package via the command line.
The input file must be a CSV file containing numeric data or categorical data.

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Command Syntax

topsis <InputDataFile> <Weights> <Impacts> <OutputResultFileName>

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Arguments

Argument	Description
InputDataFile	Path to the input CSV file
Weights	Comma-separated numerical weights (e.g., 1,1,1,2)
Impacts	Comma-separated signs (+ or -) (e.g., +,+,-,+)
OutputResultFileName	Name of the output CSV file

Note:
If weights or impacts contain spaces, enclose them in double quotes.
Example: "1, 1, 1, 2"

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📝 Example

Sample Input (data.csv)

Model	Storage	Camera	Price	Looks
M1	16	12	250	5
M2	16	8	200	3
M3	32	16	300	4
M4	32	8	275	4
M5	16	16	225	2

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Execution

Run the following command in your terminal:

topsis data.csv "0.25,0.25,0.25,0.25" "+,+,-,+" result.csv

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Output (result.csv)

The output file contains the original data along with two additional columns:

• Topsis Score
• Rank

Model	Storage	Camera	Price	Looks	Topsis Score	Rank
M1	16	12	250	5	0.53428	3
M2	16	8	200	3	0.30837	5
M3	32	16	300	4	0.69163	1
M4	32	8	275	4	0.53474	2
M5	16	16	225	2	0.40105	4

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✅ Constraints & Validations

• Input file must be a valid CSV.
• Input file must contain at least three columns.
• The first column is assumed to be the object/alternative name and is excluded from calculations.
• All columns from the second column onward must be numeric.
• Number of weights must match the number of feature columns.
• Number of impacts must match the number of feature columns.
• Impacts must be either:
  • + → Positive impact
  • - → Negative impact

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📈 Interpretation

• A higher TOPSIS score indicates a better alternative.
• Rank 1 represents the most preferred option based on given weights and impacts.

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📜 License

This project is licensed under the MIT License.