topsis-sidharth-102218069 0.1

A Python package to perform TOPSIS analysis.

# TOPSIS-Sidharth-102218069

## Overview

This package implements the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method for multi-criteria decision-making. The method ranks alternatives based on their relative closeness to the ideal solution.

## Installation

To install the package, navigate to the root directory of the project (where `setup.py` is located) and run the following command:

```bash
pip install .

This will install the package locally.

Usage

You can use this package from the command line to calculate TOPSIS scores and rankings for a given dataset.

Command Line

topsis <InputDataFile> <Weights> <Impacts> <ResultFileName>

Example

topsis 102218069-data.csv "1,1,1,2" "+,+,-,+" 102218069-result.csv

Parameters

• <InputDataFile>: Path to the input CSV file containing the data.
• <Weights>: Comma-separated weights for each criterion.
• <Impacts>: Comma-separated impacts for each criterion, where each impact is either + (beneficial) or - (non-beneficial).
• <ResultFileName>: The name of the output CSV file where the results will be saved.

Sample Input File Format

The input CSV file should have the following structure:

Fund Name	P1	P2	P3	P4	P5
M1	0.84	0.71	6.7	42.1	12.59
M2	0.91	0.83	7.0	31.7	10.11
...	...	...	...	...	...

Sample Output File Format

The output CSV file will have the following structure:

Fund Name	P1	P2	P3	P4	P5	Topsis Score	Rank
M1	0.84	0.71	6.7	42.1	12.59	0.3653	6
M2	0.91	0.83	7.0	31.7	10.11	0.2819	8
...	...	...	...	...	...	...	...

Error Handling

The program will raise an error and terminate if:

• The input file is not found.
• The number of weights and impacts does not match the number of criteria.
• Impacts contain values other than + or -.
• Weights are not numeric.

Dependencies

• pandas
• numpy

These dependencies are automatically installed when you install the package.

Author

Sidharth Dhawan

License

This project is licensed under the MIT License.