Topsis-Vansh-102203021 0.1.1

A Python package for implementing the TOPSIS decision-making method.

Topsis-Vansh-102203021

A Python package to implement the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method for multi-criteria decision-making problems.

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Features

• Rank alternatives based on multiple criteria.
• Handle positive and negative impacts of criteria.
• Simple to use with CSV input/output.
• Fully customizable weights and impacts.

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Installation

Install the package directly from PyPI:

pip install Topsis-Vansh-102203021

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How to Use

The package can be used through the command line or imported into a Python script.

Command-Line Usage

The basic syntax for using the package via the command line:

python -m topsis <input_file> <weights> <impacts> <output_file>

Parameters:

• input_file: CSV file containing the decision matrix.
• weights: Comma-separated values representing the importance of each criterion (e.g., 1,1,2,3).
• impacts: Comma-separated values representing the impact of each criterion (+ for positive, - for negative).
• output_file: Name of the CSV file where the results will be saved.

Example:

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

Input File Format:

The input file must be a CSV file with the following structure:

Alternatives	Criterion 1	Criterion 2	Criterion 3	Criterion 4
A1	250	16	12	5
A2	200	18	8	3
A3	300	14	16	7
A4	275	17	10	4

• The first column contains alternative names (e.g., A1, A2, etc.).
• From the second column onwards, numeric values for each criterion are provided.

Output File Format:

The output file will include the input data along with two additional columns:

Alternatives	Criterion 1	Criterion 2	Criterion 3	Criterion 4	Topsis Score	Rank
A1	250	16	12	5	0.65	2
A2	200	18	8	3	0.45	4
A3	300	14	16	7	0.78	1
A4	275	17	10	4	0.52	3

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Python Script Usage

You can also import and use the package in your Python scripts:

from topsis_vansh_102203021 import topsis

topsis(
    input_file="data.csv",
    weights="1,1,2,3",
    impacts="+,+,-,+",
    output_file="result.csv"
)

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Validation and Error Handling

The package includes robust error handling to ensure correct inputs:

1. File Not Found:

   • If the input file does not exist, an appropriate error message is shown.

2. Invalid Parameters:

   • The number of weights, impacts, and criteria must match.

3. Non-Numeric Values:

   • From the second column onwards, only numeric values are allowed.

4. Invalid Impacts:

   • Impacts must be either + or -.

5. Minimum Column Requirement:

   • The input file must have at least three columns.

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Example Files

You can test the package using the following example files:

Input File (data.csv):

Alternatives	Criterion 1	Criterion 2	Criterion 3	Criterion 4
A1	250	16	12	5
A2	200	18	8	3
A3	300	14	16	7
A4	275	17	10	4

Output File (result.csv):

Alternatives	Criterion 1	Criterion 2	Criterion 3	Criterion 4	Topsis Score	Rank
A1	250	16	12	5	0.65	2
A2	200	18	8	3	0.45	4
A3	300	14	16	7	0.78	1
A4	275	17	10	4	0.52	3

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Author

Developed by Vansh Kansal (Roll Number: 102203021).

For any questions or feedback, please contact [e-mail].