topsis-HimanshuBhumbla-102203043 0.2.0

A Python package to perform Topsis analysis.

TOPSIS Command Line Program

A Python program to perform the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) analysis on a given dataset.

Description

TOPSIS is a multi-criteria decision-making approach that ranks a set of alternatives based on their distance to the ideal best and ideal worst solutions. This program:

1. Normalizes the criteria values.
2. Applies user-defined weights.
3. Identifies the ideal best (v+) and ideal worst (v-) values.
4. Calculates the Euclidean distance of each alternative from these ideal solutions.
5. Computes the TOPSIS score (dist_worst / (dist_best + dist_worst)).
6. Ranks the alternatives (higher score → better rank).

Requirements

• Python 3.x
• pandas (Install via pip install pandas)
• numpy (Install via pip install numpy)

File Structure

• Script Name: setup.py

• Input CSV File: 102203043-data.csv

  • Must contain at least 3 columns.
  • The first column is the identifier (e.g., M1, M2, ...).
  • The remaining columns are numeric (no missing or non-numeric values).

• Output CSV File: 102203043-result.csv

  • Will contain the original columns plus two additional columns:
    • Topsis Score
    • Rank

Usage

Open a terminal/command prompt in the directory containing your Python script and run:

python setup.py <InputDataFile> <Weights> <Impacts> <ResultFileName>