Topsis-Saniya-102303183 1.0.1

TOPSIS implementation as a Python package

TOPSIS Python Package

This package implements the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method for solving Multi-Criteria Decision Making (MCDM) problems.

---

📦 Installation

pip install Topsis-Saniya-102303183

---

🚀 Usage

Run the package using the command line as follows:

topsis <InputDataFile.csv> <Weights> <Impacts> <ResultFile.csv>

---

📌 Parameters

• InputDataFile.csv
  CSV file containing alternatives and criteria values.

• Weights
  Comma-separated numerical weights
  Example: 1,1,1,1

• Impacts
  Comma-separated impacts
  + for benefit, - for cost
  Example: +,-,+,+

• ResultFile.csv
  Output CSV file with TOPSIS score and rank.

---

📄 Example

Sample Input File (sample.csv)

Model,Storage,Camera,Price,Looks
M1,16,12,250,5
M2,16,8,200,3
M3,32,16,300,4
M4,32,8,275,4
M5,16,16,225,2

Command

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

---

📊 Output

The output CSV file will contain:

• Topsis Score
• Rank

Higher score indicates a better alternative.

---

⚠️ Assumptions

• Input file must be a CSV file
• All values must be numeric
• Number of weights must equal number of criteria
• Impacts must be either + or -
• No missing values allowed

---

👩‍💻 Author

Saniya

---

📜 License

MIT License