Topsis-Yajat-102303185 1.0.0

A Python package for TOPSIS multi-criteria decision analysis

Topsis-Yajat-102303185

A Python package for TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) multi-criteria decision analysis.

Installation

pip install Topsis-Yajat-102303185

Usage

Command Line

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

Example

topsis data.csv "1,1,1,2,1" "+,+,-,+,-" output.csv

In Python

from Topsis_Yajat_102303185 import topsis

topsis("data.csv", "1,1,1,2,1", "+,+,-,+,-", "output.csv")

Input File Format

The input CSV file should have the following format:

• First column: Object/Alternative names
• Second column onwards: Numeric criteria values

Example (data.csv):

Fund Name,P1,P2,P3,P4,P5
M1,0.67,0.45,6.5,42.6,12.56
M2,0.6,0.36,3.6,53.3,14.47
M3,0.82,0.67,3.8,63.1,17.1

Parameters

Parameter	Description
InputDataFile	Path to input CSV file
Weights	Comma-separated weights (e.g., "1,1,1,2,1")
Impacts	Comma-separated impacts, + or - (e.g., "+,+,-,+,-")
ResultFileName	Output CSV file path

Output

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

• Topsis Score: The calculated TOPSIS score (0-1)
• Rank: Rank based on the score (1 = best)

License

MIT License