Topsis-Khushnoor-102303219 1.0.1

A Python package for TOPSIS MCDM problems

TOPSIS-Khushnoor-102303219

Project: UCS654 – Project 1
Submitted by: Khushnoor Kaur
Roll No: 102303219

TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a multi-criteria decision-making (MCDM) method used to rank alternatives based on their distance from the ideal best and ideal worst solutions.

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Installation

pip install topsis-khushnoor-102303219

Usage

This package provides a command-line tool called topsis.

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

Example

topsis sample.csv "1,1,1,2" "+,+,-,+" result.csv


## Input Format

The input file must be a CSV file with:
* First column as alternative names
* Remaining columns as numerical criteria

Sample Input (sample.csv)

| Model | Storage space | Camera | Price | Looks |
|-------|---------------|--------|-------|-------|
| M1    | 16            | 12     | 250   | 5     |
| M2    | 16            | 8      | 200   | 3     |
| M3    | 32            | 16     | 300   | 4     |

## Output

The output file will contain the original columns plus the Topsis Score and Rank.

| P-Score  | Rank |
|----------|------|
| 0.534277 | 2    |
| 0.308368 | 3    |
| 0.691632 | 1    |

## Other notes:

* The first column (alternatives) is ignored during TOPSIS computation.
* All criteria values must be numerical.
* Weights and impacts must match the number of criteria.
* Impacts must be either + (benefit) or - (cost).

## License:

[MIT](https://choosealicense.com/licenses/mit/)