topsis-varun-102217105 0.2.0

Technique for Order Preference by Similarity to Ideal Solution(TOPSIS) Package

TOPSIS Analysis Tool

This project implements the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for multi-criteria decision making. The tool takes a decision matrix, applies weights and impacts for each criterion, and ranks the alternatives based on their relative performance. This python package was built under acronym topsis-varun-102217105 as University Student Project.

Features

• Supports decision matrix input via CSV or Excel files (.xlsx, .xls).
• Allows customizable weights and impacts for each criterion.
• Outputs ranked results in a CSV file.

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Installation

1. Clone this repository or download the script file.
2. Ensure you have Python installed (version 3.6 or later).
3. Install the required dependencies using pip:

pip install numpy pandas openpyxl

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Usage

The script accepts command-line arguments to specify the input file, weights, impacts, and output file.

Command

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

Parameters

• <input_file>: Path to the input decision matrix file. Accepts .csv, .xlsx, or .xls files.
• <weights>: Comma-separated weights for each criterion (e.g., 0.3,0.4,0.3).
• <impacts>: Comma-separated impacts for each criterion (+ for beneficial, - for non-beneficial, e.g., +,+,-).
• <output_file>: Path to save the output CSV file containing ranks.

Example

Input File (data.csv):

Alternatives	Criterion 1	Criterion 2	Criterion 3
A1	250	16	12
A2	200	20	10
A3	300	18	15

Command:

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

Output File (output.csv):

Alternatives	Criterion 1	Criterion 2	Criterion 3	Rank
A1	250	16	12	2
A2	200	20	10	3
A3	300	18	15	1

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Functions

topsis(data, weights, impacts)

Performs TOPSIS analysis and returns the ranks of the alternatives.

Parameters:

• data: 2D list or numpy array representing the decision matrix.
• weights: List of weights for each criterion.
• impacts: List of impacts (+ or -) for each criterion.

Returns:

• List of ranks for the alternatives.

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excel_to_csv(excel_file, csv_output)

Converts an Excel file to a CSV file.

Parameters:

• excel_file: Path to the Excel file.
• csv_output: Path to save the converted CSV file.

Returns:

• The path to the converted CSV file.

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Notes

• Ensure that the weights and impacts match the number of criteria in the decision matrix.
• The decision matrix should not include the alternative names in the criteria columns (e.g., the first column in the input file should contain names like A1, A2, etc.).

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License

This project is licensed under the MIT License.