TOPSIS implementation for multi-criteria decision making
Project description
Topsis-Raiza-102303068
Description
This Python package implements the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method used in Multi-Criteria Decision Making (MCDM).
It allows users to rank alternatives based on multiple criteria using command-line input.
Installation
Install the package from PyPI using:
pip install Topsis-Raiza-102303068
Command Line Usage
topsis <InputDataFile> <Weights> <Impacts> <OutputFile>
Example
topsis data.csv "1,1,1,2,1" "+,+,-,+,-" output.csv
Input File Format
- First column: Name of alternatives (e.g., Fund Name)
- Remaining columns: Numeric criteria values
- Minimum 3 columns required
- Weights and impacts must match number of criteria
Output File
The output CSV file contains:
- All original columns
Topsis ScoreRank(higher score = better rank)
Requirements
- Python 3.7+
- pandas
- numpy
Author
Raiza Duggal
Roll No: 102303068
Project details
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